Description:Title of The Invention
Monitoring of Mental Engagement of Students in Classroom
Field of the Invention
This invention relates to monitoring of mental engagement of students in the classroom
Background of the Invention
WO2007096706A2: A method of detecting a mental state includes receiving, in a processor, bio-signals of a subject from one or more bio-signal detectors and determining in the processor whether the bio-signals represent the presence of a particular mental state in the subject. A method of using the detected mental state includes receiving, in a processor, a signal representing whether a mental state is present in the subject. The mental state can be a non-deliberative one, such as an emotion, preference, or sensation. A processor can be configured to perform the methods, and a computer program product, tangibly stored on a machine-readable medium, can have instructions operable to cause a processor to perform the methods.
US6292688B1: A method of determining the extent of the emotional response of a test subject to stimuli having a time-varying visual content, for example, an advertising presentation. The test subject is positioned to observe the presentation for a given duration, and a communication path is established between the subject and a brain wave detector/analyzer. The intensity component of at least two different brain wave frequencies is measured during the exposure, and each frequency is associated with a particular emotion. While the subject views the presentation, periodic variations in the intensity component of the brain waves of each of the particular frequencies selected are measured. The change rates in the intensity at regular periods during the duration are also measured. The intensity change rates are then used to construct a graph of plural coordinate points. These coordinate points graphically establish the composite emotional reaction of the subject as the presentation continues.
WO2020037332A2: A method and system for neuro-feedback training are disclosed. The method may include detecting a brainwave signal associated with the electrical activity of a brain of a learner; analyzing a characteristic of the brainwave signal; generating an attention score indicative of a level of engagement of the learner; determining a performance score of the learner; adjusting the stimulus based on a combination of the attention score and the performance score to personalize the educational experience of the learner. An attention evaluation method and system are disclosed. The method comprises obtaining answer data when a user performs a preset attention game and may acquire corresponding EEG data through a wearable device. The answer data and the EEG data may be processed, so that corresponding answer scores and EEG scores can be obtained. The answer scores and the EEG scores may be substituted into an equation to obtain attention scores.
None of the prior art indicates above either alone or in combination with one another disclose what the present invention has disclosed. The present invention is EEG Sensor & AI Model embedded with a controlling unit associated with WIFI.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, which is further described in the detailed description of the invention. This summary is neither intended to identify key or essential inventive concepts of the invention nor intended for determining the scope of the invention.
To further clarify the advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which are illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail in the accompanying drawings.
"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 behavior. 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. Present education systems cannot detect slow learning phenomena and cannot supplement measures to overcome them. 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.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Figure 1 consists of EEG Sensor Array, Computing Unit, Co-Processor, AI Model, Buzzer, LED lights, WIFI, Mobile App, and Web dashboard. First, we set the device on the student’s head. then EEG Sensor Array will start functioning, monitor the brain’s sensitivity, and send the data to the computing unit. In this process Co-Processor and AI Model will activate, and EEG will analyze the data and reflect on LED and LED lights display the student’s state. If Greenlight blinks, that means students are engaged in the class, or if the yellow light blinks, that means students are semi-engaged in the class, and if the red light blinks, that means students are not engaged in the class. And when the process is completed, the buzzer is on. And after that, with the help of the WIFI, the data will display on the web dashboard and mobile application. External power supply will be powering the computing unit, Buzzer, WIFI, Co-Processor, EEG Sensor, and LED.
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such detail as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limited to example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and is included within its scope.
"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 behavior. 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. Present education systems cannot detect slow learning phenomena and cannot supplement measures to overcome them. 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 AI Model and EEG Sensor to evaluate students’ mental and emotional states.
ADVANTAGES OF THE INVENTION:
• To monitor the mental state of the students in the classroom.
• To monitor the emotional state of the students in the classroom.
• To find out the growth level of students in the classroom.
• To identify slow learners.
• To make education more effective and peaceful.
, Claims:We Claim:
1. Monitoring of mental engagement of students in classroom system is comprised of integrating AI Model and EEG Sensor to evaluate students’ mental and emotional state.
2. The system as claimed in claim 1, wherein it consists an EEG Sensor embedded with a controlling unit associated with WIFI.
3. The system as claimed in claim 1, wherein it consists an AI Model embedded with a controlling unit associated with WIFI.