Description:Field of the Invention:
The present invention relates to an EEG based identification method & enhancement of neurodiverse, neurotypical individual’s or any person’s brain abilities, the said method can be used in diagnosing ADHD, Down syndrome, and other neurodiverse conditions. More particularly the invention works on identifying the strength and the best mode of learning method for each child or any individual within five minutes of assessments while the subject wearing an EEG Band. Even more particularly the invention helps teachers and parents create a personalized curriculum specific learning method to each student's needs, also a group approach and it utilizes brain scan technology to personalize and optimize learning for various groups, including students, special schools, vocational schools, adults, or any individual.
Background of the Invention:
The existing education method uses a group-based approach to teaching, which may not cater to the individual needs of each student. This can result in some students struggling to keep up with the pace of the class, while others may become bored or disinterested if the material is too easy. Further, students with neurodiverse conditions such as autism, ADHD, Down syndrome, and others often face additional challenges in the traditional education method. These students may require specialized teaching methods and support to learn effectively, which can be difficult to provide in a group-based setting. In the traditional educational approach, which is typically based on a group-based teaching method, where the teacher imparts knowledge to a group of students, without taking into account the individual learning styles and abilities of each student. This approach has its limitations, as every student is different and has different learning abilities and styles. As a result, some students may find it difficult to keep up with the rest of the group, leading to a sense of demotivation and frustration. Many researchers and inventors have worked on it and developed some related works but they are lacking in design and missing some features. Some of such inventions are discussed below.
Reference has been made to US20200082735 titled “Neuroadaptive intelligent virtual reality learning method and method” by Singularity Education Group and Talespin Reality Labs. Inc. dated 12.09.2019 which discloses a computer-implemented method of providing virtual reality (VR) or Augmented Reality (AR) training includes adapting the VR/AR training based on feedback on the user's biometric data, which may include electroencephalogram (EEG) data and other biometric data. Associations are determined between the biometric data and psychological/neurological factors related to learning, such as a cognitive load, attention, anxiety, and motivation. In one implementation, predictive analytics are used to adapt the VR/AR training to maintain the user with an optimal learning zone during the training.
Another reference has been made to US20190247662 titled “METHOD AND APPARATUS FOR NEUROENHANCEMENT TO FACILITATE LEARNING AND PERFORMANCE” by Neuroenhancement Lab, LLC dated 04.12.2018 which discloses a method of facilitating a skill learning process or improving performance of a task, comprising: determining a brainwave pattern reflecting neuronal activity of a skilled subject while engaged in a respective skill or task; processing the determined brainwave pattern with at least one automated processor; and subjecting a subject training in the respective skill or task to brain entrainment by a stimulus selected from the group consisting of one or more of a sensory excitation, a peripheral excitation, a transcranial excitation, and a deep brain stimulation, dependent on the processed temporal pattern extracted from brainwaves reflecting neuronal activity of the skilled subject.
Another reference has been made to US20190082990 titled “METHOD AND APPARATUS FOR NEUROENHANCEMENT” by Neuroenhancement Lab, LLC dated 18.09.2018 which discloses a method of facilitating a skill learning process or improving performance of a task, comprising: determining a brainwave pattern reflecting neuronal activity of a skilled subject while engaged in a respective skill or task; processing the determined brainwave pattern with at least one automated processor; and subjecting a subject training in the respective skill or task to brain entrainment by a stimulus selected from the group consisting of one or more of a sensory excitation, a peripheral excitation, a transcranial excitation, and a deep brain stimulation, dependent on the processed temporal pattern extracted from brainwaves reflecting neuronal activity of the skilled subject.
Another reference has been made to EP2416698 titled “METHOD AND METHOD FOR TRAINING OF PERCEPTUAL SKILLS USING NEUROFEEDBACK” by STICHTING KATHOLIEKE UNIV dated 02.04.2010 which discloses a method for training of a perceptual skill, e.g. using a brain computer interface, which method comprises measuring electrophysiological activity in reaction to a sequence of perceptual stimuli. Furthermore, matching the measured electrophysiological activity signal with a predefined electrophysiological signature signal is performed, in which the predefined electrophysiological signature signal corresponds to an early electrophysiological component. Feedback is provided when a match is detected.
Another reference has been made to US20220133194 titled “MEASURING AND STRENGTHENING PHYSIOLOGICAL/NEUROPHYSIOLOGICAL STATES PREDICTIVE OF SUPERIOR PERFORMANCE” by Optios, Inc. dated 07.12.2021 which discloses that to identify physiological states that are predictive of a person's performance, a method provides physiological and behavioral interfaces and a data processing pipeline. Physiological sensors generate physiological data about the person while performing a task. The behavioral interface generates performance data about the person while performing the task. The pipeline collects the physiological and performance data along with reference data from a population of people performing the same or similar tasks. In various implementations, the physiological states are brain states. In one implementation, the pipeline computes bandpower ratios. In another implementation, the pipeline decomposes the physiological data into frequency-banded components, identifies brain states derived from the decomposed data—for example, clusters of correlations of decomposed data envelopes—grades the performance data, compares the graded performance data to the brain states, and identifies statistical relationships between the brain states and levels of performance.
Another reference has been made to IN202031055111 titled “A NOVEL REAL-TIME PORTABLE TELE-EDUCATION METHOD BASED ON COGNITIVE LOAD AND LEARNING STYLE FROM BCI DATA USING CI BASED TECHNIQUES AND CONTENT SERVICES” by MR. SATYAJIT NAYAK, ER. PATITAPABAN PANDA, MRS. SATARUPA UTTARKABAT and DR. SURYA NARAYAN PATNAIK dated 18-12-2020 which discloses the potentiality and intelligibility of tele-education system can be effective and efficient by making the system portable. Different learners/students/users need different information and interaction according to their level of knowledge and learning style/preferences. Portable tele-education system understands the user. interface and learning content. Such interface monitors learner's posture and gesture to identify the usage patterns of the learner. Use of learners' Cognitive load and Learning Styles (LS) will improve the learning achievements and satisfaction of the learners and make the learning process easier. Cognitive load reflects the level of expertise of the learners and LS is the pattern of behaviour of the learner in the learning process. They can be identified, measured and monitored by an interface, over the time of learning using an EEG-based brain computer interaction (BCI). User's brain activity data, i.e., BCI data introduces the dynamicity by taking into account the potential changes in LS and cognitive load over the time. It uses learner's state of mind at the moment of interaction and tailors the learning activities to the changing requirements of the individual. To introduce the real-time environment, the adaptive tele-education approach also considers re-use of. courseware, which are not only moveable entities but services delivered by dedicated Web servers.
Another reference has been made to IN202311026078 titled “MONITORING OF MENTAL ENGAGEMENT OF STUDENTS IN CLASSROOM” by UTTARANCHAL UNIVERSITY dated 06-04-2023 which discloses a method for monitoring of mental engagement of students. Children with disabilities in minor or significant form for any of the physical organs or mentally unstable children are specially-abled ones, and to help them absorb the natural flow of life, we need to consider and provide them a supportive and growing environment where they can live and grow. With specially-abled children, the assessment of disability and learning absorption is essential, and especially for children with deeper issues, slow learning is the most common behaviour. There could be many issues that make learning slow. Some of them could be mental and brain disorders, social, auditory, visual-motor, language, or sensory organ issues. This result is dis-harmony in education, attention disorders, and the derailing of motivation. This affects children and the morale of the parents and society. We need an innovative identification mechanism that detects slow learning and can track, notify guardians, suggest measures, and implement them to make education more effective and peaceful. This problem statement aims to develop an innovative application that helps identify slow learners and support them via creative means. The present invention monitors the mental state, emotional state, and growth level of the students in the classroom. It uses an integrating Al Model and EEG Sensor to evaluate students' mental and emotional state.
Another reference has been made to IN202311033150 titled “SYSTEM AND METHOD FOR DYSLEXIA DETECTION AND LEARNING IMPROVEMENT IN DYSLEXIA SUBJECT” by Amandeep Kaur, Parvinder Singh dated 11-05- 2023 which discloses a system (100) and a method (500) for detecting dyslexia and improving learning of complex India language such as Hindi for a subject having dyslexia. The system (100) is configured to monitor eye movements, finger motion, and audio input of the subject while reading a text displayed on a screen. If the subject faces difficulty or is unable to read the text, the system (100) and the method (500) thereof assists in improving the subject by changing text and various other features of a particular text until the subject improves in learning of the language.
Another reference has been made to IN202341055743 titled “AN ANDROID APPLICATION TO ENHANCE THE SOCIAL AND COMMUNICATION BEHAVIOUR OF AUTISTIC CHILDREN” by Anurekha G, Geetha P dated 21- 08-2023 which discloses a method for the order to assist individuals with disabilities, mobile terminals are used. It is possible to load software onto a mobile terminal, such as a "smartphone" or other commercially available wireless handheld device. So that a person can be diagnosed or identified as at risk with fewer questions, a processor can be programmed with instructions to determine the most predictive next question. In one case, a computer-aided system for diagnosis, monitoring, and therapy is integrated with the robot. Several children's growth and change in the classroom are observed over the course of a half-year, during which most kids' ability to engage with others socially improves visibly and other kids also make some gain in this area.
Another reference has been made to IN202041031963 titled “AN IOT BASED NOVEL FRAMEWORK FOR MONITORING BEHAVIOR OF AUTISM AFFECTED PERSONS” by Dr. KESHETTI SREEKALA, Dr. B. INDIRA, GUDA VANITHA, G. R. RAMA DEVI dated 26-07-2020 which discloses a NIFA (Novel IoT based Framework for Autism-Kids) technique, which is great to monitor the affected kids also confirm the suspected kids at the earlier stage. ASD simply referred to as Autistic Spectrum Disorder, is a kind of neurodevelopmental disability that really affects the kid's communication, repetitive patterns of behaviour, and social skills. It come from genetic or else non-genetic factors. The symptoms with this disorder come into sight, in the beginning, two years of a child. ASD can be detected mainly by taking Electroencephalograms at the critical stage, but no one can find it in the beginning stage. Then after we could not monitor the child's activity anytime and anywhere. Because the child's activity like their emotional angry situation may happen whenever.
Another reference has been made to IN202011030624 titled “A ML BASED BCI SYSTEM FOR TRAINING AND ENABLING APHONIC PATIENT FOR EFFECTIVE COMMUNICATION” by GLA University, Mathura dated 17- 07-2020 which discloses a Brain Computer Interface (BCI) device comprising of an Electroencephalography (EEG) electrode pair and a Functional near-infrared spectroscopy (fNIRS) acquisition arrangement with a microcontroller having the following four stages (a) Electroencephalography (EEG) and near- infrared signal detection, (b) electroencephalography (EEG) and near-infrared signal acquisition (c) electroencephalography (EEG) signal amplification and (d) electroencephalography (EEG) signal filtration. The microcontroller is used to process the obtained brain wave signal and also performs transmission and mapping into appropriate robotic arm actions. It is a non-integrated model for processing thoughts and formulating texts and languages for people with mental abnormities that can help classifying and recognizing the neural activity sensed in the brain.
Another reference has been made to US10068490B2 titled “SYSTEM AND METHOD FOR IMPROVING STUDENT LEARNING BY MONITORING STUDENT COGNITIVE STATE” by QUANTUM APPLIED SCIENCE AND RES INC [US] dated 21-08-2013 which discloses a learning material that is presented to a student and a device that is used to acquire physiological data from the student in real time during a learning session. A cognitive assessment algorithm determines a cognitive state of the student using the physiological data, and a learning action algorithm modifies the presentation of the learning material in response to the student's cognitive state. The learning material can include lectures, questions asked of the student or problems or activities being completed by the student. In one embodiment, the device directly measures the brain activity of the student to determine the student's cognitive state. The cognitive state of the student can include the student's cognitive load, engagement or fatigue.
Another reference has been made to CN110522983B titled “BRAIN STIMULATION SYSTEM AND METHOD BASED ON ARTIFICIAL INTELLIGENCE, EQUIPMENT AND STORAGE MEDIUM” by SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY dated 23-05-2018 which discloses a brain stimulation system and method based on artificial intelligence, equipment and a storage medium. The system comprises a plurality of brain stimulation terminals and a cloud platform; the cloud platform is used for adopting an artificial intelligence technology to generate multidirectional psychological big data by learning physiological data and psychological state evaluation parameters from the multiple brain stimulation terminals and combining a preset diagnosis treatment model for various diseases; and the brain stimulation terminals are used for adopting the artificial intelligence technology to analyze the collected physiological data and psychological state evaluation parameters of a target object based on the multidirectional psychological big data, the mental state of the target object is determined, brain stimulation parameters required for the target object are obtained according to the mental state, and corresponding non-invasive brain stimulation is generated to the target object according to the brain stimulation parameters. The brain stimulation system and method based on the artificial intelligence, the equipment and the storage medium are suitable for maintaining mental health of ordinary people and regulating unhealthy emotions of ordinary people and at least have the effects of early prediction, professional prevention and timely interference on certain serious mental diseases.
Reference has been made to US11696720B2 titled “PROCESSOR IMPLEMENTED SYSTEMS AND METHODS FOR MEASURING COGNITIVE ABILITIES” by AKILI INTERACTIVE LABS INC dated 12-03-2015 which discloses a computer-implemented cognitive assessment tool is provided for assessing cognitive ability of an individual while multi- tasking. In one embodiment, a computer processing system on which the tool is implemented may receive form the individual first responses to a first task and second responses to a second task, where the first task and the second task are presented to the individual simultaneously. The system may determine that the first task and the second task are performed by the individual based on the first responses and the second responses, and compute a cognitive measure using one or both of the first responses and the second responses. Further, computing the cognitive measure may be based on performance measures of one or both of the first responses and the second responses. Based on the cognitive measure, the system may output a cognitive assessment to the individual.
Another reference has been made to CN107024987B titled “REAL-TIME HUMAN BRAIN ATTENTION TESTING AND TRAINING SYSTEM BASED ON EEG (ELECTROENCEPHALOGRAM)” by NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS dated 20-03-2017 which discloses a real- time human brain attention testing and training system based on EEG (electroencephalogram). The system comprises five parts including an attention experiment part, a signal collection part, a data analysis part, a real-time transmission part and a test feedback part, wherein the attention experiment part is divided into internal and external experiments of the system, and as for the signal collection part, an EEG collecting device is used for collecting EEG data of a user; as for the data analysis part, a data analysis program is used for denoising, filtration and related rhythm wave analysis for collected signals; as for the real-time transmission part, quantitative number values obtained through analysis is stored for extraction at any time and transmitted through a corresponding interface; as for the test feedback part, corresponding programs are used for reading data of the real-time transmission part and realize feedback through a visual interface. EEG signals and attention level are effectively combined and represented in a diversified experiment form, the treatment interestingness is improved, the sustainable time of treatment is prolonged, and people with deficiency of attention can be effectively assisted in improving the attention level.
Another reference has been made to US2020082735A1 titled “NEUROADAPTIVE INTELLIGENT VIRTUAL REALITY LEARNING SYSTEM AND METHOD” by SINGULARITY EDUCATION GROUP DBA SINGULARITY UNIV [US] dated 12-09-2018 which discloses a computer-implemented method of providing virtual reality (VR) or Augmented Reality (AR) training includes adapting the VR/AR training based on feedback on the user's biometric data, which may include electroencephalogram (EEG) data and other biometric data. Associations are determined between the biometric data and psychological/neurological factors related to learning, such as a cognitive load, attention, anxiety, and motivation. In one implementation, predictive analytics are used to adapt the VR/AR training to maintain the user with an optimal learning zone during the training.
Another reference has been made to CN110022768B titled “COGNITIVE PLATFORM COUPLED WITH A PHYSIOLOGICAL COMPONENT” by AKILI INTERACTIVE LABS INC dated 26-08-2016 which discloses an example systems, methods, and apparatus, including cognitive platforms, for computing performance metrics of an individual based at least in part on user interaction(s) with computerized tasks and/or interference and at least one physiological measure of the individual, where the performance metric provides an indication of the cognitive abilities of the individual. The apparatus can be coupled to at least one physiological component to perform the physiological measurement of the individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.
Another reference has been made to EP2416698A1 titled METHOD AND SYSTEM FOR TRAINING OF PERCEPTUAL SKILLS USING NEUROFEEDBACK by STICHTING KATHOLIEKE UNIV [NL] dated 06-04-2009 which discloses method for training of a perceptual skill, e.g. using a brain computer interface, which method comprises measuring electrophysiological activity in reaction to a sequence of perceptual stimuli. Furthermore, matching the measured electrophysiological activity signal with a predefined electrophysiological signature signal is performed, in which the predefined electrophysiological signature signal corresponds to an early electrophysiological component. Feedback is provided when a match is detected.
Another reference has been made to US20220369986A1 titled “SYSTEMS AND METHODS FOR ANALYZING BRAIN ACTIVITY AND APPLICATIONS THEREOF” by NEUROSTEER INC [US] dated 07-06-2016 which discloses an exemplary inventive system that includes: an apparatus to record: individual's brain electrical activity, a physiological parameter of the individual, and iii) an environmental parameter; a computer processor configured to perform: obtaining a recording of the electrical signal data; projecting the obtained recording of electrical signal data onto a pre-determined ordering of a denoised optimal set wavelet packet atoms to obtain a set of projections; normalizing the particular set of projections of the individual using a pre-determined set of normalization factors to form a set of normalized projections; determining a personalized mental state of the individual by assigning a brain state; determining a relationship between: the physiological parameter, the environmental parameter, and the personalized mental state; generating an output, including: a visual indication, representative of the personalized mental state, and a feedback output configured to affect the personalized mental state of the individual.
Another reference has been made to KR102152500B1 titled “METHOD AND APPARATUS FOR PROVIDING SPEECH THERAPY FOR DEVELOPMENTAL DISABILITY CHILD” by CHOI MI SOOK [KR] dated 15-09-2017 which discloses a method and apparatus for speech therapy for children with developmental disabilities In the present embodiment, in the process of customizing the language of a child with developmental disabilities for each individual, the database-based speech therapy histories are searched to extract several treatment histories that are most similar to the current child's symptoms and speech status, and the treatment history is reprocessed to treat individual speech therapy. Provides speech therapy methods and devices for children with developmental disabilities to provide a new curriculum.
Another reference has been made to US11670184B2 titled “LEARNING SYSTEM THAT AUTOMATICALLY CONVERTS ENTERTAINMENT SCREEN TIME INTO LEARNING TIME” by RYAN JUSTIN dated 22-07-2021 which discloses a novel Continuous Engagement Method During Learning keeps the learner engaged in academic functioning (where engagement would otherwise be continuously declining). The present invention solves a critical problem for special learners (e.g., those with ADHD, autism, dyslexia, or memory impairment) who have a high affinity for screen time and cannot access traditional reading instruction. An Artificial Intelligence (AI) architecture is used to customize the type of instruction the learner receives based upon academic progress and to customize delivery of the instruction itself by closely monitoring the learner's emotional mood state and sustained attention.
Another reference has been made to WO2020223397A1 titled “MENTAL FITNESS ASSESSMENT SYSTEMS AND METHODS USING PHYSIOLOGIC SIGNAL INPUTS” by WITFIT LTD; LAU MICHAEL P H dated 30-04-2019 which discloses a method and system for assessing a mental fitness state of a person using objective physiologic signals from the person includes arranging one or more sensors in proximity to the person's head to measure at least one electroencephalogram (EEG) signal of the person, and analyzing the at least one EEG signal by computing a power in the EEG signal in an EEG signal band; determining a characteristic of the computed power that, for the EEG signal band, is indicative of an emotional or cognitive state of the person; and assessing a mental fitness state of the person based on the determined characteristic. An assessment output is generated which reports the assessed mental fitness state of the person. In at least one implementation, the EEG signal contains oscillating theta waves, and a variance in timing of maximum power occurring in the theta waves around a determined average latency is calculated.
Another reference has been made to US2011256521A1 titled “METHOD AND APPARATUS FOR CUSTOMIZING LESSON PLANS” by NEW ENGLAND CT FOR CHILDREN INC [US] dated 25-05-2011 which discloses a computer system that customizes lesson plans of students and reports the outcome of the same. In one example embodiment, a collection and aggregation module, coupled to a computer memory, collects current student record data of a plurality of students and aggregates the collected student record data over time and over various pluralities of students to generate a superset aggregate data. The student record data includes recent performance and progress data for each student. A curriculum customization module receives the superset aggregate data from the collection and aggregation module and customizes a current curriculum for a given student using the superset aggregate data.
Another reference has been made to CA2935813C titled “ADAPTIVE BRAIN TRAINING COMPUTER SYSTEM AND METHOD” by INTERAXON INC [CA] dated 06-01-2014 which provides a computer system for guiding one or more users through a brain state guidance exercise or routine, such as a meditation exercise, is provided. The computer system includes at least one computing device which may be a smart phone. A computer program which may be a mobile application runs one or more brain state guidance routines that guide at least one user through at least one brain state guidance exercise. The computing device is connected to at least one bio-signal sensor that provides biofeedback information to the computing device, and where the computer program when executed further measures performance of the at least one user relative to one or more brain state guidance related objectives by analyzing the biofeedback information based on stability of state of mind for the user. The computer program may recognize, score and reward states of meditation.
However, none of the above discussed inventions relates to a method which helps in increasing the learning capabilities of an individual by using EEG based brain insights and patterns. The present invention uses EMOTIV headset or any type of EEG headset which is a non-invasive, wireless EEG headset that measures electrical signals from the brain using 5 or 14 channels. The present invention provides the assessment of an individual and students with different neurodiverse conditions such as Autism, ADHD, Down syndrome, CP, and others; and also diagnose ADHD, Down syndrome, and other neurodiverse conditions. The present invention uses EEG technology to identify the strengths of each individual and the best mode of learning for each individual and students. By using a set of defined questions or give other activities to an individual during assessments while the student is wearing an EEG Band, the present invention can gather data about the student's cognitive processes and identify their learning style. The present invention also assists teachers in determining which teacher is best suited to teach each group of students. The invention helps teachers by analyzing student data and teacher strengths to suggest optimal student-teacher pairings. The system assists teachers in making informed decisions about student placement by matching student learning styles with compatible teaching approaches.
Objectives of the Invention:
The main objective of the invention is to provide EEG based identification method within five minutes of assessment & learning enhancement of neurodiverse, neurotypical individual’s or any person’s brain abilities.
Another objective of the invention is to provide a method that works on identifying the strength and the best mode of learning for each child using assessments while the student wearing an EEG Band.
Another objective of the invention is to provide a method that can use for neurotypicals, special children such as autism, ADHD, Down syndrome, etc. or any individual.
Another objective of the invention is to identify ADHD, Down syndrome, and other neurodiverse conditions; its capabilities may extend beyond identification to also encompass diagnosis.
Another objective of the invention is to provide a SaaS platform that uses the neuroscience and AI based recommendations.
Another objective of the present invention to provide assessment and growth plan for an individual.
Another objective of the invention is to guide teachers and parents’ which topic can be taught using what mode while also giving the direct access to that technique interactive or video methods to help them learn faster.
Another objective of the invention is to allow teachers and parents to create a curriculum specific learning approach to each student, which can improve their learning capabilities and better adapt them to the normal environment.
Another objective of the invention is to provide a method that will be used in neuromarketing, where a consumer's insight about their first activation of the brain initiated due to the photo, video, or colours of the object will be tracked to give consumers and customers greater insight to sell and brand faster.
Another objective of the present invention is to provide a student and corporate dashboard that consists of Overview, Meetings, School, Assignments and Personalized sections.
Another objective of the present invention is to provide a Live Progress Tracking of a learner.
Another objective of the present invention is to provide a brain insight for skill development.
Another objective of the present invention to assists teachers in determining which teacher is best suited to teach each group of students.
Another objective of the present invention to assign character to an individual based on an individual brain report.
Summary of the Invention:
The present invention provides an EEG based identification method & enhancement of neurodiverse, neurotypical individual’s or any person’s brain abilities. The present invention is a learning method that utilizes EEG-based brain insights and patterns to increase an individual’s learning capabilities. The present invention uses EMOTIV headset which is a non- invasive, wireless EEG headset that measures electrical signals from the brain using 5 or 14 channels or any other EEG band. The present invention provides the assessment of child, individual and students with different neurodiverse conditions such as Autism, ADHD, Down syndrome, CP, and others; also, the present invention can be used to diagnose such neurodiverse conditions. The method identifies the strength and best mode of learning method for each individual within five minutes of an assessments while wearing an EEG Band and assign character to an individual based on an individual brain report. This information is then used to provide recommendations to teachers and parents to create a curriculum specific learning method to the student's needs. The present method uses neuroscience and AI-based recommendations to guide teachers and parents on which topics can be taught using what mode, while also providing direct access to interactive or video methods to help students learn faster. This student-centric approach has proven to have better growth outcomes than traditional group-based methods. The present invention provides detailed reports for students, parents, and teachers, covering strengths, weaknesses, learning styles, and emotional state and customized activities through offers engaging games, flashcards, and educational content tailored to individual needs and preferences. It applicable to regular schools, special schools, vocational schools, and even adults wanting to improve cognitive skills. The same technology and process can be used in neuro marketing to track consumer insights about their brain activation in response to photos, videos, and colors, providing greater insights for selling and branding faster.
Statement of the Invention:
Accordingly, the present invention provides an EEG based identification method & enhancement of neurodiverse, neurotypical individual’s or any person’s brain abilities; the said method uses EEG-based brain insights and patterns to increase the learning capabilities of any individual and neurodiverse students, such as those with autism, ADHD, Down syndrome, and other conditions; the said method can be used in diagnosing ADHD, Down syndrome, and other neurodiverse conditions; the method works by identifying the strengths and best mode of communication for each individual using a set of defined questions during assessments while the subject wears an EEG band; after the session, assign character to an individual based on an individual brain report and the brain insights are used to help teachers and parents better understand the student; the method allows for a curriculum that is specific to the individual student or a group, and provides recommendations to teachers and parents on the best mode of education or information sharing for each student; the said method uses AI-based recommendations to guide teachers and parents on which topics to teach and what mode to use for each individual student, and provides direct access to interactive or video methods to help students learn faster; the present invention provides detailed reports for students, parents, and teachers, covering strengths, weaknesses, learning styles, and emotional state and customized activities through offers engaging games, flashcards, and educational content tailored to individual needs and preferences; it applicable to regular schools, special schools, vocational schools, and even adults wanting to improve cognitive skills; the same technology and process of present invention can also be used in neuromarketing, studying approaches, branding, and other fields.
Brief Description of Drawings:
Figure 1: represents that subject wearing a 14-channel EMOTIV headset that is connected to the method.
Figure 2: represents brain insights and most active area of left brain and right brain.
Figure 3: represents live progress tracking of a learner or subject or student.
Figure 4: represents brain insight for skill development.
Figure 5: shows graphical representation of performance metric, brain strength, emotional analysis and learning style of an individual.
Figure 6: shows the graph which displays the performance of a learner across multiple sessions, using an Emotiv EEG headset to measure brain activity.
Figure 7: represents the quick overview of an individual reports between specific time.
Figure 8: represents the brain activity report which provides insights into learning patterns, mental state, brain strengths, and user interactions.
Figure 9: represents characters based on brain insights.
Figure 10: represents the progress report of a Neurodiverse child in a given duration.
Figure 11: represents a method that include student centric learning for schools as well as for adults.
Figure 12: represents a method which include student centric learning for schools.
Figure 13: represents the brain mapping and in-depth analysis in adults, resulting in personalized weekly regimens for cognitive training.
The figures are merely for illustration purpose and shall not be construed to limit the scope of the invention.
Detailed Description of the Invention:
It should be noted that the particular description and embodiments set forth in the specification below are merely exemplary of the wide variety and arrangement of instructions which can be employed with the present invention. The present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. All the features disclosed in this specification may be replaced by similar other or alternative features performing similar or same or equivalent purposes. Thus, unless expressly stated otherwise, they all are within the scope of present invention. Various modifications or substitutions are also possible without departing from the scope or spirit of the present invention. Therefore, it is to be understood that this specification has been described by way of the most preferred embodiments and for the purposes of illustration and not limitation.
The present invention provides an EEG based identification method & enhancement of neurodiverse, neurotypical individual’s or any person’s brain abilities. The said method can be used in diagnosing ADHD, Down syndrome, and other neurodiverse conditions. The present invention provides a method 1 that helps in increasing the learning capabilities of a student 1(b) or any individual by using EEG based brain insight and patterns within five minutes. The present invention provides an assessment that identifies weak areas and growth plan as per individual it may be curriculum based, skill development, non-academic, mind mapping activities etc. The present invention works on identifying the strength and the best mode of learning method for each child using a set of defined questions (given only to distract the child or individual during the EEG scan) during assessments while the student wearing an EEG Band 1(b). After the session, the brain insights help an individual in skill development, teacher and parents to understand the student better. Present invention helps teacher create a curriculum specific learning approach to the student and the group. The said method can be used for any individual, neurotypicals and special children such as autism, ADHD, Down syndrome, etc.
The present invention uses an EMOTIV headset 1(a) with 5 or 14 channels to assess students with different neurodiverse conditions like Autism, ADHD, down syndrome, CP, etc. The student wears an EMOTIV headset 104 which has 5 or 14 channels in it. The Emotiv headset 1(a) with rubber electrodes (101) and head band (102); said electrodes are positioned at key spots on the scalp to measure brain activity by sensing and recording electrical signals of brain’s neurons, and then system amplify and convert the signals into digital data to identify individual strengths and weakness, based on this recommend customized curriculums to accelerate learning and skill developments. After the assessment, the method provides insights into the skills of each student 4(b) & 4(c) in terms of memory, association, etc., and recommends the best mode of education or information sharing for that individual student. The recommendation is then given to the teachers and parents to accommodate in their current curriculum teaching approach to fasten the entire process of learning and better adaptation to the normal environment. All the analysis data and results can be displayed on laptop or smartphones or any other display units (103).
The present invention provides SaaS platform that uses neuroscience and AI-based recommendations to guide teachers and parents on which topic can be taught using what mode while also providing direct access to techniques 4(b) such as interactive or video methods to help students learn faster and help individuals for their skill development. The present method enables a student-centric approach in both normal and special student scenarios and has better chances of growth than the current traditional group-based method.
The present invention provides a method that include student centric learning for schools as well as for adults 11. The student wears an EMOTIV headset with 5 or 14 channels 1 that capture and interpret brainwave pattern or activity. The student centric learning 12 consists of: a) assessment & brain scans, special schools and c) vocational. The assessment & brain scans, special schools and vocational all sections include comprehensive overviews for each area, including school selection, progress report, personalization options, add child registration, switching between profiles, personality insights, subject-specific reports, and detailed brain activity reports.
The assessment & brain scans 12 consist of:
• Overview: It provides quick overview of recent assignment of the user that include two sections, ‘Nema report’ and Questions Answered Correctly.
The Emotiv headset measures brain activity and provides a personalized 'Nema Report' with visual data and insightful analysis.
The Nema Report presents data visually using vertical rectangular bars. It also includes insightful analysis of various factors and categorizes cognitive skills into various levels, from remembering facts to creating new solutions. Remember (lower-order thinking skills): recall facts, define concepts, list information, memorize and repeat key points. Understand (mid-order thinking skills): explain ideas, classify concepts, discuss information, identify patterns, recognize connections. Apply (higher-order thinking skills): use knowledge in new situations, solve problems, implement solutions, interpret data, operate systems, create schedules, sketch solutions. Analyze (highest-order thinking skills): draw connections among ideas, design experiments, construct arguments, formulate hypotheses, investigate complex topics. Evaluate (critical thinking skills): justify decisions, argue positions, defend conclusions, judge evidence, select appropriate methods, support claims, value different perspectives, critique ideas, weigh arguments. Create (creative thinking skills): design new solutions, assemble information, construct models, develop theories, formulate original ideas, author creative works and investigate. By analyzing their Nema Report data, students can utilize these skills at different levels, from applying knowledge to adjust their study strategies to analyzing connections between brain activity and learning performance.
The 'Questions Answered Correctly' section analyzes performance of student in both flashcards and games. It uses pie charts to visualize subject-wise performance (correct, incorrect, unattempted) and offers further insights through focused pie charts for specific skills like Arithmetic, Expressive Language, Money Skills, Reading Comprehension, Receptive Language, Time Management, and Writing.
• School: The student wears an EMOTIV headset with 5 or 14 channels that measures brain activity. The school section platform offers assignments divided into three sections: Education, Flashcards, and Games. Each section targets specific skills through engaging activities:
? Education: This section presents questions categorized by fruits, numbers, vegetables, colors, alphabets, money, time, animals, etc. Students need to identify the correct answer.
? Flashcards: This section utilizes flashcards based on various categories like reading, writing, arithmetic, money, time, receptive language, expressive language, and color identification. For example, flashcards might show different colors, month names, or day names, asking the child to identify them. Additionally, this section allows playing audio, with the child responding by typing or speaking based on the picture displayed.
? Games: This section features engaging games related to Matching, Math, English, and Colors. These games adapt to the student's focus, fading away when attention drops and resuming when concentration improves. Time and question statistics are recorded at each level for comprehensive reporting.
• Report: While wearing EEG band, student’s assessments, which incorporate a set of defined questions, although questions are provided but question’s answer does not create any input to the report (it does not depend on whether question’s answer is correct or incorrect), provide data for detailed reports. These reports analyze both cumulative and individual test results, helping to identify each student's strengths and the most effective communication approach for them.
• Personalize: This section provides customized recommendations based on student data or an individual data.
• Add: This section allows user to add students or create group.
• Switch: This section allows user to switch between profiles.
• Personality Insights: This section provides quick overview for students reports (5 & 6). Personality Insights include study of the evaluation of multiple intelligence, inborn learning ways, concentration level, brain dominance features, inborn potentials and strengths and weaknesses of the child.
The child wears an EEG headset during assessment. Based on child reports the present invention provides left brain skills and right brain skills and identify which side of brain is more inclined.
The Left-brain skills involve:
o Listener: Comprehension of operations involves the ability to understand and effectively perform various tasks, procedures, often crucial for problem-solving and executing tasks accurately in both academic and professional settings.
o Creative ability: Visual Comprehension is the ability to understand interpret visual information, such as images, charts, and graphs, by perceiving, analyzing, and drawing meaning from visual representations. It is a critical skill for tasks involving data analysis, design, and communication.
o Decision Making: Communication management refers to the practice of organizing and conveying information effectively, whether in academic presentations, group projects, or interpersonal interactions. It’s a valuable skill that enhances learning, collaboration, and future career prospects.
o Learning: Language comprehension is the skill of understanding and interpreting spoken or written language, encompassing the ability to grasp meaning, context, and nuances in communication. It’s a fundamental aspect of effective communication and learning.
The Right-brain skills involve:
o Listener: Musical inclination is a natural aptitude or talent for understanding, creating, or appreciating music. It often involves a deep sensitivity to musical elements like melody, rhythm, and harmony, and can manifest as a passion for playing instruments, composing, or enjoying music as a listener.
o Creative Ability: Visual feeling is the emotional or sensory response elicited by visual stimuli, where images, colors, and patterns evoke subjective and often profound sensations or sentiments in individuals, contributing to their aesthetic experiences and perceptions of the world.
o Decision Making: A goal-oriented approach involves setting clear objectives and directing efforts towards achieving them. It emphasizes focus, planning, and determination to attain specific outcomes or targets.
o Learning: Art appreciation through touch, feeling the texture of a painting or the smoothness of a sculpture, can deepen our understanding and appreciation of the artwork.
Further, the report highlights the ability of the child through four different parameters, the learning style, brain strength, emotional analysis and overall performance. The present invention provides graphical representation in the form of bar graph for these parameters that can impacts child’s studying patterns.
o Brain Strength 5(b): The brain power and academic excellence depend greatly on brain strength, which means the association of the child with every subject, his memory power, thinking process and vision.
o Emotional Analysis 5(c): Emotional state also impacts their level of learning. Positive emotions can help a child engage with learning longer, as they will stay motivated. Such children are more likely to enjoy schooling and develop a love for learning new things.
o Learning Style 5(d): The learning style of every child varies depending on their ability to grasp through audio, video, photos and interactive material. Knowing the right learning style can help in setting up the right teaching environment for the child.
o Performance Metric 5(a): The performance insight displays different emotions in a child while attempting the test, his attention span, excitement level, focus, interest, relaxation and stress levels.
• Subject Wise Findings: The subject wise findings show the performance based on the unique learning pattern of a child. It shows the detailed comparison of child’s strength in each subject. The present invention also provides improvements across sessions through these findings, child may excel in Math, instead of Arts because of his higher brain strength in Math. His thinking power gets activated the moment he sees an algebra question instead of a political issue. This analysis will give a complete picture about how the learning style of child gets impacted and how anyone can improve the same. For example, across the sessions present invention provides some recommendations and based on that the child starts learning via interactive content, which can improve his concentration and the stress level will decrease. These performance improvements are tracked on a monthly basis for each subject through month-on-month sessions.
• Brain Activity Report: The brain activity report 8 provides insights into learning patterns 8(a), mental state 8(c), brain strengths 8(b), and user interactions 8(d). It details a child's learning patterns for visual (video-audio based content), audio (traditional audio classroom setup), and interactive (gamified touch and feel) content. The mental state analysis displays the child's stress and attention levels as percentage increases. Additionally, this section offers brain scans and detailed reports based on student data. You can customize the analysis by selecting the task the child is performing, setting a time limit, choosing a headset, and uploading CSV files for further analysis. Finally, an aggregate report summarizes all the collected data.
The present invention provides two functionalities for special school: 1) it provides a platform for special schools, and 2) it allows personalized module design for each class based on individual brain reports. Importantly, all the parameters discussed previously 11 apply equally to special schools.
This present invention provides student-centered learning for vocational schools, offering subject-related games alongside skill-building sections like typing (content, Excel, paragraph, sentence) and AI training (design, NEMA bots, QR code, social media). Additionally, Ecommerce training progresses through Levels 1 to 3. While wearing an EEG band, students engage with these activities, and the invention generates brain reports that inform personalized course adjustments. All the parameters 11 discussed previously apply equally to vocational schools.
This invention leverages EEG for brain mapping and in-depth analysis in adults 13, resulting in personalized weekly regimens for cognitive training. The present invention captures brain patterns to identify individual strengths and weaknesses, and recommend customized curriculums to accelerate learning and foster functional education and cognitive skill development. The invention employs a structured method with distinct components: overview, activities, 4-week plan, brain mapping, personality insights, subject-specific modules, add new user, data aggregation and team analysis.
• Overview: This section provides an overview of key report findings 7, including hiring/rehiring trends 7(a), areas for improvement 7(b), team strengths 7(d), and user interaction patterns 7(c). It includes both pie-chart and graphical representations of data. The pie charts illustrate reported healthy productivity levels, higher- than-average burnout rates, and increasing percentages of fatigue and happiness. Furthermore, it discloses graphical representation of team strength including factors Association, Interactive, Focus & Stress of diverse field such as ADHD, Aeronautics, Autism, Banking, CA, Creative, Consultant, Content & Communication, Creative, Dean, Driver, Education Founder, Founder Planning and Implementation, HR, House Wife, I create, Learning, Marketing, Marketing and Branding, Numerologist, Psychology, SD, Sales, Software Engineer, Student, Travel Manager, Writer CSE Dean, Lawyer and other. Factors like Association, Interactivity, Focus, and Stress are analyzed within these fields. Additionally, user interaction is broken down across three categories: all user, male, female and unattempted.
• Activities: This section includes activities in the form of game comprising of: Attention & calm (boost the rocket with your brain and gain points), Focus & Calm (boost the rocket with your brain and gain points), memory game (find matching pairs), Schutle (focus and find items in order), mental maths (solve equations quickly), block tapping (tap blocks in correct order) and memory span (find the correct sequence of items). Additionally, the activities section includes a personality test to give insight on personality, a brain dominance test to get insight about an individual, and a brain logic test for logical thinking.
• 4-Week Plan: The 4-week plan includes an Introduction to Thinking Abilities, Creative Problem-Solving, Games to improve your cognitive ability, Critical Thinking Exercises, Mind Mapping and Visualization, Divergent Thinking, Decision-Making and Analysis, and Applying New Skills.
• Brain: This section offers brain scans and detailed reports based on student data. You can customize the analysis by selecting the task an individual is performing, setting a time limit, choosing a headset, and uploading CSV files for further analysis. Finally, an aggregate report summarizes all the collected data.
• Team analysis: This section analyzes individual productivity across different time periods (morning, afternoon, evening, and night). Based on this analysis, teams can be formed considering individual strengths and preferences. Additionally, information on category, specialty, gender, and age limit is provided to facilitate further customization.
All the parameters discussed 12 previously apply equally apply in-depth analysis in adults, resulting in personalized weekly regimens for cognitive training.
The above method is merely for illustration purpose and shall not be construed to limit the scope of the invention. The aforementioned factors will be design in accordance with personalize and optimize learning for various groups, including students, adults, special schools, vocational schools, Coaching centers, psychologist, colleges, and learners.
The present provides a method that uses brain scan technology to personalize and optimize learning for special, normal students and any individual. Present invention captures brain patterns to identify individual strengths and weaknesses, and recommend customized learning method to accelerate learning and foster functional education and cognitive skill development. The said method empowers parents, teachers, and students with instant access to school content for seamless learning and progress tracking. The present method provides education benefits for both individuals and corporations. Individuals benefit from personalized learning plans, skill development and progress tracking that help them improve cognitive skills and become job-ready. Meanwhile, corporations can use neuromarketing and decision-making technology to gain a better understanding of their customers and improve their branding strategies.
The present invention can be used in studying approaches, marketing, branding, neuromarketing, and cinematic object placement. The said method will be used in neuromarketing where consumer insight about their first activation of the brain initiated due to the photo, video, or colors of the object. It will provide consumers and customers with greater insights to sell and brand faster.
Referring to figure 1, that shows a 14 channel EMOTIV headset 1(a) with electrodes 101 and head band 102. The figure 1(b) shows that the subject 1(b) is wearing an EMOTIV headset 104 that contains rubber electrodes 101 positioned at key spots on the scalp to measure brain activity. The present invention provides a method that helps in increasing the learning capabilities of a student by using EEG based brain insight and patterns. Figure 1(b) shows the setup, where a subject wears an EEG band during assessment and a set of defined questions are displayed on a screen 103. The present invention works on identifying the strength and the best mode of communication for each child using a set of defined questions in assessments 1(b) while the student wearing an EEG Band.
Referring to Figure 2, that represents the connection between different parts of brain 2(a) of an individual during an assessment. The present method provides brain scan and shows visual representation between different parts of brain during an assessment, said method generates a personalized report based on the brain insights and patterns. The fig 2(b) shows most active areas are T7 (11.63%), P8 (11.34%) and F3 (10.76%). The fig 2(c) shows most active areas of left brain are T7 (11.63%), F3 (10.76%) and FC5 (7.56%), and the fig 2(d) shows most active areas of right brain are P8 (11.34%), AF4 (10.17%) and F8 (8.72%).
Referring to figure 3, that represents live progress tracking of a subject, which consists of NEMA (Neuro Electrical Mind for All) analysis 3(a), performance metrics 3(b), and questions answered correctly 3(c). The NEMA analysis 3(a) is further divided into Level 1, Level 2, and Level 3. Each level of NEMA analysis includes two factors: level 1 includes remembering and understanding; level 2 includes applying and analyzing; and level 3 includes evaluating and creating. The performance metrics 3(b) include factors such as attention, focus, interest, and relaxation. The question answered correctly 3(c) section of live progress tracking is further divided into sections such as education, communication, and games. The question answered correctly 3(c) section can be designed as per the syllabus of the learner.
Figure 3(d) represent student centric learning which provide suggestion for future learning. Figure 3 shows the suggested learning topics for a 9- year-old student with autism spectrum disorder (ASD) studying in class 2 after the assessment. The suggested learning topics with score and interests for this student include such as: Fruits (interest: 86/100, score 8/10); vegetables (interest: 6/100, score 8/10); shapes (interest: 12/100, score 8/10); alphabets (A-M) (interest: 8/100, score 8/10); alphabets(N-Z) (interest: 16/100, score 8/10) and colours (interest: 56/100, score 8/10).
Referring to figure 4, that represent the brain insight for skill development. Figure 4(a) shows the different sections of the brain and key spots on the scalp where rubber electrodes are positioned to measure brain activity. The different sections of scalp include such as frontal left, frontal right, temporal left, temporal right occipital, and parietal. Figure 4(a) shows the channel locations where electrodes are located at AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8 and AF4. The present invention provides learning strategies for learners that are more compatible with the learner's brain. After the assessment, the method provides insights into the skills of each student in terms of memory, association, etc., and recommends the best mode of education or information sharing for that individual student. Figs. 4(b) and 4(c) show the brain insight of the learner on which assessment is conducted. Fig. 4(b) shows the teaching strategies for a learner. In this case, the subject should be taught with photos, videos, audio, and interactive sessions because the learning capacity through photos is 92.9%, videos is 67%, audio is 41.1%, and interactive is 83.6%. Fig. 4(c) shows the brain strength of a learner that comprising memory, thinking, vision and association. The assessment conducted on a learner and the results related to brain strength found that memory is 78.8%, thinking is 79%, vision is 79%, and association is 78.8%. This recommendation is then given to the teachers and parents to accommodate in their current curriculum teaching approach to fasten the entire process of learning and better adaptation to the normal environment.
Referring to figure 5, that shows graphical representation of performance metric, brain strength, emotional analysis and learning style of an individual. Fig. 5(a) represents performance metrics of an individual along with base line with respect to the parameters like attention, excitement, focus, interest, relax and stress. The x-axis denotes the parameters and y-axis denote the score. The assessment conducted on a learner and the performance metric shows learner performance with respect to the base line: attention (score 46/100 whereas the base line is 57/100), excitement (score 67/100 whereas the base line is 45/100), focus (score 32/100 whereas the base line is 49/100), interest (score 41/100 whereas the base line is 56/100), relax (score 47/100 whereas the base line is 47/100) and stress (score 40/100 whereas the base line is 49/100).
Fig. 5(b) represents brain strength of a learner along with base line with respect to the parameters like association, memory, thinking and vision. The assessment conducted on a learner and the brain strength graph shows the learner’s brain strength with respect to the baseline: association (score 48/100 whereas the base line is 62/100), memory (score 54/100 whereas the base line is 61/100), thinking (score 80/100 whereas the base line is 65/100) and vision (score 53/100 whereas the base line is 59/100).
Fig. 5(c) represents the emotional analysis of a learner along with base line with respect to the parameters like alert, happy, relaxed and tired. The assessment conducted on a learner and the emotional analysis of a learner shows with respect to the base line: alert (score 14/100 whereas the base line is 16/100), happy (score 40/100 whereas the base line is 24/100), relaxed (score 0/100 whereas the base line is 36/100) and tired (score 40/100 whereas the base line is 26/100).
Fig. 5(d) represents the learning style of a learner along with base line with respect to the parameters like audio, interactive, photos and videos. The learning style of a learner shows with respect to the base line: audio (score 40/100 whereas the base line is 54/100), interactive (score 54/100 whereas the base line is 60/100), photos (score 0/100 whereas the base line is 42/100) and videos (score 40/100 whereas the base line is 58/100).
Referring to figure 6, that shows the graph which displays the performance of a learner across multiple sessions, using an Emotiv EEG headset to measure brain activity. The fig. 6 shows the graphical representation of performance metric, brain strength, emotional analysis and learning style of a learner. The x-axis denotes the sessions and y-axis denote the score. The fig. 6(a) shows the performance metrics of a learner including parameters like attention, excitement, focus, interest, relax and stress in all sessions. The fig. 6(b) shows the brain strength of the learner including parameters like association, memory, thinking and vision in multiple sessions. The fig. 6(c) shows the emotional analysis of the learner including parameters like alert, happy, relaxed and tired in multiple sessions. The fig 6(d) shows the learning style of the learner including parameters like audio, interactive, photos and videos in multiple sessions.
Referring to figure 7, that represents the quick overview of an individual reports between specific time. The user can select the start date and end date and see the quick report of an individual. The fig. 7 shows an overview of key report findings, including hiring/rehiring trends, areas for improvement, team strengths, and user interaction patterns. It includes both pie-chart and graphical representations of data. The fig. 7(a) shows pie charts that illustrate reported healthy productivity levels (55%) and higher-than-average burnout rates (85%). The fig 7(b) shows the increasing percentages of fatigue (0%) and happiness (4%). The fig 7(c) shows the user interactions with all user (490), male (180), female (120) and unattempted (0). The fig 7(d) shows the graphical representation of team strength including factors Association, Interactive, Focus & Stress of diverse field such as ADHD, Aeronautics, Autism, Banking, CA, Creative, Consultant, Content & Communication, Creative, Dean, Driver, Education Founder, Founder Planning and Implementation, HR, House Wife, I create, Learning, Marketing, Marketing and Branding, Numerologist, Psychology, SD, Sales, Software Engineer, Student, Travel Manager, Writer CSE Dean, Lawyer and other. Factors like Association, Interactivity, Focus, and Stress are analyzed within these fields.
Referring to figure 8, that represents the brain activity report which provides insights into learning patterns, mental state, brain strengths, and user interactions. Fig 8(a) details a child's learning patterns for visual -video-audio based content (6%), audio-traditional audio classroom setup (33%), and interactive-gamified touch and feel (56%) content. The fig. 8(b) shows the brain strengths of child with different neurodiverse conditions such as autism, down syndrome, intellectual disability and other, factors like Association, Interactivity, Focus, and Stress are analyzed within these conditions. The fig. 8(c) shows the mental state analysis that displays the child's stress (2%) and attention (4%) levels as percentage increases. The fig 8(d) shows the user interactions with all user, male, female and unattempted.
Referring to figure 9, that represents six characters and each character shows different brain strength. Based on an individual brain reports one of the following characters will be given. The six characters are COOL SEAL, MASTER SHARK, PROF OCTOPUS, CAPTIAN WHALE, DR PENGUIN and AGENT DOLPHIN. The COOL SEAL 9(a) represents High Memory & Thinking powers, they are like memory and thinking wizards, nailing the art of managing, recalling, and analyzing information. The MASTER SHARK 9(b) represents high thinking and visualization powers, they are smart, creative people are like curious, explorers who love puzzles, analyzing stuff, and enjoying, brainy things. Their superpower is solving problems in creative ways, and they are always up for new adventures and fresh ideas. The PROF OCTOPUS 9(c) represents high association and visualization power, they are creative individuals with wild imaginations and diverse personalities excel due to their imaginative prowess, which complements their open-mindedness. The CAPTIAN WHALE 9(d) represents high association & thinking powers, they have strong thinking skills and a talent for connecting ideas are like problem-solving superheroes, effortlessly untangling complex puzzles because of their amazing brainpower. The DR PENGUIN 9(e) represents high memory & visualization powers, folks with a knack for memory and imagination are practically memory heroes; they can stash away even the knottiest of details and weave stunning mental pictures like a boss. It’s like having a secret superpower. The AGENT DOLPHIN 9(f) represents high association & memory powers, human encyclopedias! They can magically link information and soak up loads of data, turning them into memory wizards and masters of connecting concepts.
Furthermore, the present invention assigns each individual one of the six aforementioned character based on an individual brain report. The present invention also assists teachers in determining which teacher is best suited to teach each group of students. The invention helps teachers by analyzing student data and teacher strengths to suggest optimal student-teacher pairings. The system assists teachers in making informed decisions about student placement by matching student learning styles with compatible teaching approaches.
Referring to figure 10, that represents the progress report of a Neurodiverse child in a given duration. The child A, having Intellectual disability (ID) recorded 5-10% progress in one month; the child B, having intellectual disability (ID) recorded 20-25% progress in 6 months; the child C, having intellectual disability recorded 40% progress in 6 months; the child D, having Autism recorded 80% progress in 7 months; the child E, having intellectual disability recorded 35% progress in 3 months; the child F, having autism spectrum disorder (ASD) recorded 2% progress in 1 month; the child G, having autism spectrum disorder (ASD) recorded 2% progress in 1 month; the child H, having intellectual disability (ID) and down syndrome recorded 15% progress in 1 month; the child I, having autism recorded 55% progress in 7 months and the child J, having intellectual disability (ID) recorded 35% progress in 3 months.
Referring to figure 11, that represents a method that include student centric learning for schools as well as for adults. The fig. 11(a) shows the student centric learning that consists of: a) assessment & brain scans, b) special schools and c) vocational. The assessment & brain scans, special schools and vocational all sections include comprehensive overviews for each area, including school selection, progress report, personalization options, add child registration, switching between profiles, personality insights, subject-specific reports, and detailed brain activity reports. The fig 11(b) represents the in-depth analysis in adults, resulting in personalized weekly regimens for cognitive training. The present invention captures brain patterns to identify individual strengths and weaknesses, and recommend customized curriculums to accelerate learning and foster functional education and cognitive skill development. The invention employs a structured method with distinct components: overview, activities, 4-week plan, brain mapping, personality insights, subject-specific modules, add new user, data aggregation and team analysis 11(b).
Referring to figure 12, that represents a method which include student centric learning for schools. The student centric learning consists of: a) assessment & brain scans, b) special schools and c) vocational. The assessment & brain scans, special schools and vocational all sections include comprehensive overviews for each area, including school selection, progress report, personalization options, add child registration, switching between profiles, personality insights, subject-specific reports, and detailed brain activity reports. The figure 12, discloses the method of assessments and brain scans consists of: Overview: It provides quick overview of recent assignment of the user that include two sections, ‘Nema report’ and Questions Answered Correctly; The school section platform offers assignments divided into three sections: Education, Flashcards, and Games. Each section targets specific skills through engaging activities; Report: These reports analyze both cumulative and individual test results, helping to identify each student's strengths and the most effective communication approach for them; Personalize section provides customized recommendations based on student data; Add section allows user to add students or create group; Switch section allows user to switch between profiles; Further, the Personality Insights section provides quick overview for students reports. Personality Insights include study of the evaluation of multiple intelligence, inborn learning ways, concentration level, brain dominance features, inborn potentials and strengths and weaknesses of the child; The Left-brain skills involve & The Right-brain skills involve: Listener, Creative ability, Decision Making and Learning; Brain Strength: The brain power and academic excellence depend greatly on brain strength, which means the association of the child with every subject, his memory power, thinking process and vision. Emotional Analysis: Emotional state also impacts their level of learning. Positive emotions can help a child engage with learning longer, as they will stay motivated. Such children are more likely to enjoy schooling and develop a love for learning new things. Learning Style: The learning style of every child varies depending on their ability to grasp through audio, video, photos and interactive material. Knowing the right learning style can help in setting up the right teaching environment for the child. Performance Metric: The performance insight displays different emotions in a child while attempting the test, his attention span, excitement level, focus, interest, relaxation and stress levels.
Furthermore, the Subject Wise Findings section comprises of brain strength, emotional state, learning style, performance insight and an improvement across sessions. The brain activity report provides insights into learning patterns, mental state, brain strengths, and user interactions. It details a child's learning patterns for visual (video-audio based content), auditory (traditional audio classroom setup), and interactive (gamified touch and feel) content. The mental state analysis displays the child's stress and attention levels as percentage increases. Additionally, this section offers brain scans and detailed reports based on student data. You can customize the analysis by selecting the task the child is performing, setting a time limit, choosing a headset, and uploading CSV files for further analysis. Finally, an aggregate report summarizes all the collected data.
Referring to figure, 13 that represents the brain mapping and in-depth analysis in adults, resulting in personalized weekly regimens for cognitive training. The present invention captures brain patterns to identify individual strengths and weaknesses, and recommend customized curriculums to accelerate learning and foster functional education and cognitive skill development. The invention employs a structured method with distinct components: overview, activities, 4-week plan, brain mapping, personality insights, subject-specific modules, add new user, data aggregation and team analysis. The figure 13, discloses the method of assessments and brain scans consists of: Overview: This section provides an overview of key report findings, including hiring/rehiring trends, areas for improvement, team strengths, and user interaction patterns; Activities: This section includes activities in the form of game comprising of: Attention & calm (boost the rocket with your brain and gain points), Focus & Calm (boost the rocket with your brain and gain points), memory game (find matching pairs), Schutle (focus and find items in order), mental maths (solve equations quickly), block tapping (tap blocks in correct order) and memory span (find the correct sequence of items). Additionally, the activities section includes a personality test to give insight on personality, a brain dominance test to get insight about an individual, and a brain logic test for logical thinking.
Further, the 4-Week Plan section includes an Introduction to Thinking Abilities, Creative Problem-Solving, Games to improve your cognitive ability, Critical Thinking Exercises, Mind Mapping and Visualization, Divergent Thinking, Decision-Making and Analysis, and Applying New Skills. This Brain section offers brain scans and detailed reports based on student data. You can customize the analysis by selecting the task an individual is performing, setting a time limit, choosing a headset, and uploading CSV files for further analysis. Finally, an aggregate report summarizes all the collected data. This Team analysis section analyzes individual productivity across different time periods (morning, afternoon, evening, and night). Based on this analysis, teams can be formed considering individual strengths and preferences. Additionally, information on category, specialty, gender, and age limit is provided to facilitate further customization.
So accordingly, the present invention provides an EEG based identification method & enhancement of neurodiverse, neurotypical individual’s or any person’s brain abilities comprising of: EEG headset 1(a) with 5 or 14 channel electrodes (101) for assessments & brain scans and Display Unit or laptop or smartphone (103) to display recommendation and results; said system provides SaaS platform, NEMA (Neuro Electrical Mind for All) analysis 2(a), performance metrics (2(b), 5(a) & 6(a)), brain strength (5(b), 6(b) & 8(b)), emotional analysis (5(c) & 6(c)) by analyzing the signals of brain’s neurons, and then system provides learning style (5(d) & 6(d)), learning patterns 8(a), hiring/rehiring 7(a), improvements 7(b), team strengths 7(d), mental state 8(c), user interactions 8(d), cumulative reports, test-wise reports, aggregate data of all students, most unique strengths, left and right brain skills, user insights, global insights, improvements across sessions, games, personality test, brain dominance, brain logical, weekly plan, day wise insights and team analysis (12 & 13); the said system measures the brain activity of an individual within five minutes using an EEG headset 1(a) with electrodes (101) positioned on the scalp 1; said system provides student centric learning section and adult section.
In an exemplary embodiment, said system comprises Emotiv headset 1(a) with rubber electrodes (101) and head band (102); said electrodes are positioned at key spots on the scalp to measure brain activity by sensing and recording electrical signals of brain’s neurons, and then system amplify and convert the signals into digital data to identify individual strengths and weakness, based on this recommend customized curriculums to accelerate learning and skill developments.
In another embodiment, said system uses a set of defined questions during assessments while the user wearing an EEG Band (1(b)) to identify the strength and the best mode of learning method, and provides brain insights.
In another embodiment, said analysis are characterized into various factors and skills that includes lower-order thinking skills, mid-order thinking skills, higher-order thinking skill, highest-order thinking skills, critical thinking skills, and creative thinking skills.
In another embodiment, said school section offers assignments divided into three sections that is education, flashcards and games to target specific skills, where education section displays fruits, numbers, colors, alphabets, money, time, animals etc. based questions, and students need to identify the correct answer.
In another embodiment, said flashcard section comprise reading, writing, arithmetic, receptive language, expressive language, color identification etc., and the system shows different colors, months or days names to the user to identify the correct one, and additionally this section allows playing audio and user responding by typing or speaking based on the picture displayed.
In another embodiment, said game section has matching, math, English and colors based activity to adapt student’s focus, fading away when attention drops and resuming when concentration improves, and for these activities, time and question statistics are recorded at each level for comprehensive reporting.
In another embodiment, said system analyzes the cumulative and individual test results to identify the strength and weakness of the user, and based on the result analysis, system provides improvement sessions which includes games, critical thinking exercises, mind mapping and visualization etc.
In another embodiment, said system analyzes left brain and right brain skills by using 5 or 14 channel EEG headset that capture and interpret brainwave pattern or activity to understand the user’s problem solving capabilities, ability to perform various tasks, ability to understand interpret visual information, decision making abilities and skill of understanding language etc.
In another embodiment, said system provides improvement sessions by providing interactive contents like video-audio based content, traditional audio classroom setup, gamified touch and feel etc. according to the findings by which user starts learning and improve their concentration and the stress level will decrease, and system tracks monthly basis performance improvement.
In another embodiment, said user can customize the analysis by selecting the task, setting a time limit, choosing a headset and upload files for further analysis, and system summarizes all the collected data and provide aggregate report.
In another embodiment, said system provides three level of analysis, level 1 includes remembering and understanding, level 2 includes applying and analyzing, and level 3 includes evaluating and creating; where performance metrics (3(b)) includes attention, focus, interest and relaxation factors, and the question answered correctly (3(c)) section of live progress tracking includes education, communication and games.
In another embodiment, said system provides six characters which shows different brain strength and based on an individual brain reports, one of the following characters will be given; the COOL SEAL (9(a)) given to a person who has high memory & thinking power; the MASTER SHARK (9(b)) given to a person who is smart, creative, explorer and who loves puzzles; the PROF OCTOPUS (9(c)) given to a person who creativity with wild imaginations and diverse personalities; the CAPTAIN WHALE (9(d)) is given to a person who has strong thinking skills and problem solving ideas; and the DR PENGUIN (9(e)) is given to a person has practical memory and stash away even the knottiest of details and weave stunning mental pictures like a boss; and the AGENT DOLPHN (9(f)) given to a person who magically link information and soak up loads of data, turning them into memory wizards and masters of connecting concepts.
In another embodiment, said SaaS platform uses neuroscience and AI-based recommendations to guide teachers and parents on which topic can be taught using what mode while also providing direct access to techniques 4(b) such as interactive or video methods.
In another embodiment, said method includes student centric learning 11(a) for schools as well as for adults 11 (b) or any individual; said student centric learning comprises of three sections assessment & brain scans, special schools and vocational 11(a).
In another embodiment, said method provides student-centered learning for vocational schools, offering subject-related games alongside skill-building sections like typing (content, Excel, paragraph, sentence), AI training (design, NEMA bots, QR code, social media), ecommerce training progresses through Levels; while wearing an EEG band, students engage with these activities, and the said method generates brain reports that inform personalized learning method adjustments.
In another embodiment, said method 12 comprises steps of:

a) Student wears an EMOTIV headset 104 that measures brain activity and provide quick personalized NEMA report with visual data and insightful analysis;
b) System starts analyzing performance of the student in Questions Answered Correctly section;
c) User Select their school where system offers assignments divided into three parts i.e. Education, Flashcards and Games, based on this system measure brain activity and provide reports;
d) Based on the cumulative and individual test results, user can identify student’s strengths and weakness, and system provides recommendations based on the student data;
e) User can add students and create groups based on the reports, later user can switch students between profiles or groups;
f) personality insights section provides quick overview for students reports (5 & 6); personality insights include study of the evaluation of multiple intelligence, inborn learning ways, concentration level, brain dominance features, inborn potentials and strengths and weaknesses of the child;
g) subject wise findings show the performance based on the unique learning pattern of a learner, and also provides improvements across sessions through these findings;
h) after that system provides brain activity report 8 of learning patterns 8(a), mental state 8(c), brain strengths 8(b), and user interactions 8(d);
i) based on the activity report, system provides recommendations to guide teachers and parents on which topic can be taught using what mode while also providing direct access to techniques 4(b).
In another embodiment, said method 13 comprises steps of:
a) The learner wears an EMOTIV headset 104, and create an account for quick measurement of brain activity within five minutes;
b) an overview of key report findings 7, including hiring/rehiring trends 7(a), areas for improvement 7(b), team strengths 7(d), and user interaction patterns 7(c);
c) system suggest activities in the form of game includes a personality test to give insight on personality, a brain dominance test to get insight about an individual, and a brain logic test for logical thinking;
d) then system provides 4-week plan includes an Introduction to Thinking Abilities, Creative Problem-Solving, Games to improve mind ability, Critical Thinking Exercises, Mind Mapping and Visualization, Divergent Thinking, Decision-Making and Analysis, and Applying New Skills;
e) After that system scans brain and provides detailed reports based on an individual data; a user can customize the analysis by selecting the task an individual is performing, setting a time limit, choosing a headset, and uploading CSV files for further analysis; finally, an aggregate report summarizes all the collected data;
f) team analysis section analyzes individual productivity across different time periods (morning, afternoon, evening, and night); based on this analysis, teams can be formed considering individual strengths and preferences.
While particular embodiments of the present invention have been shown and described, it will be obvious to those skilled in the art that changes and modifications may be made without departing from this invention in its broader aspects and, therefore, the aim in the present invention is to cover all such changes and modifications as fall within the true spirit and scope of this invention.
Advantages of the Invention:
1. Insights into the skills of each student in terms of memory, association, etc., and recommends the best mode of education or information sharing for that individual student.
2. SaaS platform that uses neuroscience and AI-based recommendations and direct access to techniques such as interactive or video methods to help students learn faster.
3. Enables a student-centric approach in both normal and special student scenarios and has better chances of growth than the current traditional group-based method.
4. Accessible and user-friendly
5. Improved learning outcomes for students, especially those with neurodiverse conditions, as the method helps to identify the best mode of education and information sharing for each individual.
6. More personalized approach to education, with teachers able to create a curriculum specific learning approach to each student's needs and strengths.
7. Better understanding of neurodiverse conditions.
8. Potential for use in other fields, such as neuro marketing, where the same technology and process can be used to gain consumer insights and enhance branding strategies.
9. Enhanced Learning, Improved Student Performance, Better Teaching, Empowered Parents and Corporate Applications.
10. diagnoses ADHD, Down syndrome, and other neurodiverse conditions.
, Claims:We Claim:
1. An EEG based identification method & enhancement of neurodiverse, neurotypical individual’s or any person’s brain abilities comprising of: EEG headset 1(a) with 5 or 14 channel electrodes (101) for assessments & brain scans and Display Unit or laptop or smartphone (103) to display recommendation and results; said system provides SaaS platform, NEMA (Neuro Electrical Mind for All) analysis 2(a), performance metrics (2(b), 5(a) & 6(a)), brain strength (5(b), 6(b) & 8(b)), emotional analysis (5(c) & 6(c)) by analyzing the signals of brain’s neurons, and then system provides learning style (5(d) & 6(d)), learning patterns 8(a), hiring/rehiring 7(a), improvements 7(b), team strengths 7(d), mental state 8(c), user interactions 8(d), cumulative reports, test-wise reports, aggregate data of all students, most unique strengths, left and right brain skills, user insights, global insights, improvements across sessions, games, personality test, brain dominance, brain logical, weekly plan, day wise insights and team analysis (12 & 13); the said system measures the brain activity of an individual within five minutes using an EEG headset 1(a) with electrodes (101) positioned on the scalp 1; said system provides student centric learning section and adult section.
2. The system as claimed in claim 1, wherein said system comprises Emotiv headset 1(a) with rubber electrodes (101) and head band (102); said electrodes are positioned at key spots on the scalp to measure brain activity by sensing and recording electrical signals of brain’s neurons, and then system amplify and convert the signals into digital data to identify individual strengths and weakness, based on this recommend customized curriculums to accelerate learning and skill developments.
3. The method as claimed in claim 1, wherein said system uses a set of defined questions during assessments while the user wearing an EEG Band (1(b)) to identify the strength and the best mode of learning method, and provides brain insights.
4. The method as claimed in claim 1, wherein said analysis are characterized into various factors and skills that includes lower-order thinking skills, mid-order thinking skills, higher-order thinking skill, highest-order thinking skills, critical thinking skills, and creative thinking skills.
5. The system as claimed in claim 1, wherein said school section offers assignments divided into three sections that is education, flashcards and games to target specific skills, where education section displays fruits, numbers, colors, alphabets, money, time, animals etc. based questions, and students need to identify the correct answer.
6. The system as claimed in claim 1, wherein said flashcard section comprise reading, writing, arithmetic, receptive language, expressive language, color identification etc., and the system shows different colors, months or days names to the user to identify the correct one, and additionally this section allows playing audio and user responding by typing or speaking based on the picture displayed.
7. The system as claimed in claim 1, wherein said game section has matching, math, English and colors based activity to adapt student’s focus, fading away when attention drops and resuming when concentration improves, and for these activities, time and question statistics are recorded at each level for comprehensive reporting.
8. The system as claimed in claim 1, wherein said system analyzes the cumulative and individual test results to identify the strength and weakness of the user, and based on the result analysis, system provides improvement sessions which includes games, critical thinking exercises, mind mapping and visualization etc.
9. The system as claimed in claim 1, wherein said system analyzes left brain and right brain skills by using 5 or 14 channel EEG headset that capture and interpret brainwave pattern or activity to understand the user’s problem solving capabilities, ability to perform various tasks, ability to understand interpret visual information, decision making abilities and skill of understanding language etc.
10. The system as claimed in claim 1, wherein said system provides improvement sessions by providing interactive contents like video-audio based content, traditional audio classroom setup, gamified touch and feel etc. according to the findings by which user starts learning and improve their concentration and the stress level will decrease, and system tracks monthly basis performance improvement.
11. The system as claimed in claim 1, wherein said user can customize the analysis by selecting the task, setting a time limit, choosing a headset and upload files for further analysis, and system summarizes all the collected data and provide aggregate report.
12. The system as claimed in claim 1, wherein said system provides three level of analysis, level 1 includes remembering and understanding, level 2 includes applying and analyzing, and level 3 includes evaluating and creating; where performance metrics (3(b)) includes attention, focus, interest and relaxation factors, and the question answered correctly (3(c)) section of live progress tracking includes education, communication and games.
13. The system as claimed in claim 1, wherein said system provides six characters which shows different brain strength and based on an individual brain reports, one of the following characters will be given; the COOL SEAL (9(a)) given to a person who has high memory & thinking power; the MASTER SHARK (9(b)) given to a person who is smart, creative, explorer and who loves puzzles; the PROF OCTOPUS (9(c)) given to a person who creativity with wild imaginations and diverse personalities; the CAPTAIN WHALE (9(d)) is given to a person who has strong thinking skills and problem solving ideas; and the DR PENGUIN (9(e)) is given to a person has practical memory and stash away even the knottiest of details and weave stunning mental pictures like a boss; and the AGENT DOLPHN (9(f)) given to a person who magically link information and soak up loads of data, turning them into memory wizards and masters of connecting concepts.
14. The method as claimed in claim 1, wherein said SaaS platform uses neuroscience and AI-based recommendations to guide teachers and parents on which topic can be taught using what mode while also providing direct access to techniques 4(b) such as interactive or video methods.
15. The method as claimed in claim 1, wherein said method includes student centric learning 11(a) for schools as well as for adults 11 (b) or any individual; said student centric learning comprises of three sections assessment & brain scans, special schools and vocational 11(a).
16. The method as claimed in claim 1, wherein said method provides student-centered learning for vocational schools, offering subject-related games alongside skill-building sections like typing (content, Excel, paragraph, sentence), AI training (design, NEMA bots, QR code, social media), ecommerce training progresses through Levels; while wearing an EEG band, students engage with these activities, and the said method generates brain reports that inform personalized learning method adjustments.
17. The method as claimed in claim 1, wherein said system 12 comprises steps of:
a) Student wears an EMOTIV headset 104 that measures brain activity and provide quick personalized NEMA report with visual data and insightful analysis;
b) System starts analyzing performance of the student in Questions Answered Correctly section;
c) User Select their school where system offers assignments divided into three parts i.e. Education, Flashcards and Games, based on this system measure brain activity and provide reports;
d) Based on the cumulative and individual test results, user can identify student’s strengths and weakness, and system provides recommendations based on the student data;
e) User can add students and create groups based on the reports, later user can switch students between profiles or groups;
f) personality insights section provides quick overview for students reports (5 & 6); personality insights include study of the evaluation of multiple intelligence, inborn learning ways, concentration level, brain dominance features, inborn potentials and strengths and weaknesses of the child;
g) subject wise findings show the performance based on the unique learning pattern of a learner, and also provides improvements across sessions through these findings;
h) after that system provides brain activity report 8 of learning patterns 8(a), mental state 8(c), brain strengths 8(b), and user interactions 8(d);
i) based on the activity report, system provides recommendations to guide teachers and parents on which topic can be taught using what mode while also providing direct access to techniques 4(b).
18. The method as claimed in claim 1, wherein said method 13 comprises steps of:
a) The learner wears an EMOTIV headset 104, and create an account for quick measurement of brain activity within five minutes;
b) an overview of key report findings 7, including hiring/rehiring trends 7(a), areas for improvement 7(b), team strengths 7(d), and user interaction patterns 7(c);
c) system suggest activities in the form of game includes a personality test to give insight on personality, a brain dominance test to get insight about an individual, and a brain logic test for logical thinking;
d) then system provides 4-week plan includes an Introduction to Thinking Abilities, Creative Problem-Solving, Games to improve mind ability, Critical Thinking Exercises, Mind Mapping and Visualization, Divergent Thinking, Decision-Making and Analysis, and Applying New Skills;
e) After that system scans brain and provides detailed reports based on an individual data; a user can customize the analysis by selecting the task an individual is performing, setting a time limit, choosing a headset, and uploading CSV files for further analysis; finally, an aggregate report summarizes all the collected data;
f) team analysis section analyzes individual productivity across different time periods (morning, afternoon, evening, and night); based on this analysis, teams can be formed considering individual strengths and preferences.