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Wearable Safety Device For Early Detection And Intervention Of Autism Spectrum Disorder (Asd) In Children

Abstract: A wearable safety device for early detection and intervention of autism spectrum disorder (ASD) in children, comprising of a wearable suit 101 configured with cushion padding sections 102 distributed across different body regions, interconnected via solenoid valves 103, a camera 104 analyses real-time activities and facial cues of user, multiple pins 105 for arm extension movements, a motorized hinges 107, linkages 108, and finger rings 109 facilitates finger stretching, a heating unit 110 for generating warmth for therapeutic relief, a foot protection assembly including electromagnet-based springs 111 arranged above the ankle, a foot support plate 112 having cushion padding 113 and pivot joints 114, and multiple pneumatic protrusions 115 with circular tips for reducing impact from leg movements, a noise detection and response unit automatically lowers the headband 116 onto ears of user, and a headband 116 attached using pneumatic rods 117 and ball-and-socket joints 118, a speaker 119 for playing calming music.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
29 May 2025
Publication Number
25/2025
Publication Type
INA
Invention Field
ELECTRONICS
Status
Email
Parent Application

Applicants

Marwadi University
Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.

Inventors

1. M. Vignesh Sai
Department of Computer Engineering, Artificial Intelligence, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
2. D.N.V.Sai Sravan Kumar
Department of Computer Engineering, Artificial Intelligence, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
3. D. Manikanta Reddy
Department of Computer Engineering, Artificial Intelligence, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
4. Dr. Madhu Shukla
Department of Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
5. Simrin Fathima Syed
Department of Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
6. Vipul Ladva
Department of Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
7. Akshay Ranpariya
Department of Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
8. Neel Dholakia
Department of Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.

Specification

Description:FIELD OF THE INVENTION

[0001] The present invention relates to a wearable safety device for early detection and intervention of autism spectrum disorder (ASD) in children designed for early detection of autism spectrum disorder in children, providing behavioral monitoring, sensory regulation, physical intervention, and developmental support to enhance overall well-being and safety.

BACKGROUND OF THE INVENTION

[0002] Challenges in ensuring safety for early autism spectrum disorder (ASD) detection and intervention in children include the difficulty in recognizing subtle early behavioral indicators that may be misinterpreted or attributed to typical development. Reliance on subjective parental observations and the lack of standardized, easily accessible screening tools can lead to delayed identification. Furthermore, ensuring a safe and comfortable environment for objective behavioral assessments, especially for children with sensory sensitivities or anxiety, poses a significant hurdle. Access to trained professionals and specialized diagnostic facilities, particularly in underserved areas, further complicates timely intervention, impacting the safety and well-being of affected children.

[0003] Traditionally, autism spectrum disorder detection relies on behavioral assessments by clinicians, often conducted during periodic visits. These methods include observational checklists, parent interviews, and standardized tests like the Autism Diagnostic Observation Schedule. Wearable devices for children with ASD typically focus on single aspects, such as GPS tracking or basic sensory monitoring. Interventions often involve separate therapy sessions, lacking real-time support. These traditional approaches are limited by infrequent evaluations, delayed interventions, and minimal integration of detection and support, leaving caregivers without immediate tools to address behavioral, sensory, or safety challenges effectively.

[0004] US20140379352A1 discloses an assistive device to facilitate social interactions in autistic individuals by identifying emotions using a voice-detecting machine learning algorithm that extracts emotion content from an audio sample input and outputs the emotional content to a user through a device. This device may be a portable, concealable, real-time and automatic device that may receive and process an audio input. The audio input may be analysed using a machine learning algorithm. The device may output the closest emotional match to the autistic user. The output may be tactile in nature such as a vibration pattern that is different for different identified emotions.

[0005] CN113571159A discloses an autism spectrum disorder child rehabilitation nursing system based on artificial intelligence. The system comprises an intelligent safety monitoring terminal which is used for performing safety monitoring on rehabilitation training of a patient, an intelligent accompanying terminal which is used for carrying out emotion accompanying and nursing guidance on the training items of the patient, an intelligent rehabilitation training terminal which is used for performing rehabilitation training and evaluation on the patient, and a cloud server which is used for providing a rehabilitation nursing knowledge base, providing targeted schemes for differences of different patients and assisting the nursing process fed back by the terminal. The system is based on prior rehabilitation nursing knowledge of child autism spectrum disorder rehabilitation experts, voice recognition, intelligent dialogue and knowledge graph artificial intelligence technologies are combined, and a patient and child rehabilitation nursing system integrating rehabilitation training guidance and emotion accompanying is built.

[0006] Conventionally, many devices have been developed to assist children with autism spectrum disorder, however devices mentioned in prior art have limitations pertaining to providing basic alerts for distress and typically operating in isolation, addressing only one aspect of ASD management, such as sensory relief or safety. Additionally, the existing devices lack the ability to integrate real-time behavioral analysis with early detection and intervention.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a device that is capable of providing real-time behavioral and movement analysis for early autism spectrum disorder detection. Additionally, the device is capable of providing timely, age-specific alerts to caregivers and offering physical support to reduce repetitive behaviors, protecting against self-injury, and assisting in speech development.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a device that is capable of detecting early signs of autism spectrum disorder in children by analyzing their behavior and movements in real time.

[0010] Another object of the present invention is to develop a device that is capable of enabling timely alerts to caregivers for professional evaluation based on the child’s age and detected behavioral patterns.

[0011] Another object of the present invention is to develop a device that is capable of supporting children with autism spectrum disorder through physical interventions that reduce repetitive behaviors and promote controlled movements.

[0012] Another object of the present invention is to develop a device that is capable of protecting the child from self-injury during sudden or repetitive movements by absorbing impact and maintaining balance.

[0013] Another object of the present invention is to develop a device that is capable of reducing sensory stress caused by loud sounds to provide calming audio feedback.

[0014] Yet another object of the present invention is to develop a device that is capable of assisting the child in speech development by detecting speech attempts and providing personalized audio guidance for word formation.

[0015] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0016] The present invention relates to a wearable safety device for early detection and intervention of autism spectrum disorder (ASD) in children developed for identifying early indicators of autism spectrum disorder in children while offering continuous behavioral assessment, sensory relief, physical support, and developmental assistance to promote safety and well-being.

[0017] According to an embodiment of the present invention, a wearable safety device for early detection and intervention of autism spectrum disorder (ASD) in children comprising of a wearable suit configured with multiple air cushion padding sections distributed across different body regions, each section is interconnected via one or more solenoid valves, and an air inflating module is associated with the suit for inflating the cushion sections based on body dimensions of a child user, an artificial intelligence enabled camera mounted on the suit for capturing and analyzing real-time activities and facial cues of the user, a microcontroller generates behavior patterns based on the analyzed activities for ASD detection, an inertial measurement unit (IMU) comprising at least one accelerometer and one gyroscope installed in the suit for detecting motor behavior of the user, wherein the microcontroller evaluates movement abnormalities based on detected motion data, a user-interface inbuilt in a computing unit for receiving user-related parameters including age, wherein based on the age input, the microcontroller calibrates movement thresholds and behavior patterns to assess age-specific autistic tendencies, a plurality of intervention modules integrated with the suit and communicatively linked to the microcontroller, wherein the modules include: a plurality of T-shaped pins for arm extension movements, a motorized foam roller module for rolling across arms to reduce repetitive motion, a finger guidance module including motorized hinges, linkages, and finger rings for aiding finger stretching and controlled movement; the finger rings of the finger guidance module are automatically actuated to provide calibrated resistance stretching based on user-specific repetitive hand motion intensity, a heating unit embedded within sleeves for generating warmth for therapeutic relief, a foot protection assembly including electromagnet-based springs arranged above the ankle, a foot support plate having cushion padding and motorized pivot joints, and multiple vertically mounted pneumatic protrusions with circular tips for reducing impact from sudden leg movements; the foot support plate comprising the electromagnet springs and pneumatic protrusions absorbs shock during repetitive kicking behavior and maintains user’s balance without causing self-injury.

[0018] According to another embodiment of the present invention, the present invention further includes a noise detection and response unit comprising a noise sensor mounted on the suit, the noise detection and response unit is configured to automatically lower the headband onto ears of the user upon detection of high-decibel sound, and further activate the music playback to reduce auditory stress, and a headband attached to the suit using pneumatic rods and ball-and-socket joints, the headband includes an active noise cancellation module and a speaker for playing calming music when loud or distressing sounds are detected; the pneumatic rods connected to the headband enable dynamic adjustment of the headband’s vertical positioning according to user head movement for maintaining sensory relief, a speech-assistance module comprising an embedded ultrasonic sensor and the AI camera for detecting speech initiation attempts, an audio playback unit integrated within the microcontroller configured for breaking and pronouncing target words in segments, the speech assistance module enables the user to listen and mimic words through audio playback with personalized voice settings, the ultrasonic sensor detects user’s mouth movements and attempts to form word, and an air cushion section at chest level to apply mild compression for supporting speech articulation, a sensing module mounted on the headband for measuring brainwave activity and real-time breathing rate of the user, the sensing module comprises of a fiber Bragg grating (FBG) sensor and an EEG sensor, the EEG sensor is integrated with the microcontroller to trigger rhythmic haptic feedback via the air cushion sections in response to detected stress or overstimulation signals, wherein data from the sensing module, and the AI camera are collectively processed by the microcontroller to assess cognitive and emotional states of the user, wherein the microcontroller processes multimodal input data from the sensors and modules and stores behavioral trends in a non-transitory memory for monitoring user progress over time.

[0019] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0020] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates an isometric view of a wearable safety device for early detection and intervention of autism spectrum disorder (ASD) in children.

DETAILED DESCRIPTION OF THE INVENTION

[0021] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0022] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0023] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0024] The present invention relates to a wearable safety device for early detection and intervention of autism spectrum disorder (ASD) in children developed for recognizing initial signs of autism spectrum disorder in children, while also providing ongoing behavioral evaluation, sensory comfort, physical guidance, and developmental support to ensure the child’s safety and overall health.

[0025] Referring to Figure 1, an isometric view of a wearable safety device for early detection and intervention of autism spectrum disorder (ASD) in children is illustrated, comprising of a wearable suit 101 configured with multiple air cushion padding sections 102, each section is interconnected via one or more solenoid valves 103, an artificial intelligence enabled camera 104 mounted on the suit 101, a plurality of T-shaped pins 105 and a motorized foam roller module 106 embedded within sleeves, motorized hinges 107, linkages 108, and finger rings 109 mounted over the sleeves, a heating unit 110 embedded within sleeves, a foot protection assembly including electromagnet-based springs 111, a foot support plate 112 having cushion padding 113 and motorized pivot joints 114, and multiple vertically mounted pneumatic protrusions 115, a headband 116 attached to the suit 101 using pneumatic rods 117 and ball-and-socket joints 118, a speaker 119 mounted on the headband 116.

[0026] The disclosed device herein comprising of a wearable suit 101 designed for a child user comprises multiple air cushion padding sections 102 distributed across various body regions to provide adaptive protection and support. Integrated with solenoid valves 103 and an air inflating module, the suit 101 dynamically adjusts cushion inflation based on the child’s body dimensions. The suit’s interconnection ensures precise air distribution, enhancing safety and comfort during physical activities. Based on body dimensions of a child user, an air inflating module is connected with the wearable suit 101, supplies compressed air to the air cushion padding sections 102.

[0027] The air cushion padding sections 102 are embedded within the wearable suit 101, positioned at key body regions such as the torso, limbs, and joints. Each section consists of inflatable chambers that expand or contract based on air input. Upon activation, air from the inflating module fills these chambers, creating a protective barrier suitable to the child’s body dimensions. The sections 102 work in unison, adjusting firmness dynamically via solenoid valves 103 to absorb impact or provide support.

[0028] The solenoid valves 103 herein regulate airflow between the air cushion padding sections 102. Upon receiving electronic signals, the valves 103 open or close to control air distribution from the inflating module to specific cushion sections 102. This ensures precise inflation suitable to the child’s body dimensions. During operation, valves 103 respond to module inputs, adjusting airflow to enhance cushioning for impact protection or mobility.

[0029] The air inflating module supplies compressed air to the air cushion padding sections 102. The inflating module pumps air through interconnected solenoid valves 103 into designated cushion chambers. The module adjusts air volume and pressure based on the child’s body dimensions, ensuring optimal cushion inflation. The module operates on a power source, maintaining consistent airflow during use.

[0030] An artificial intelligence-enabled camera 104, is mounted on the wearable suit 101 for capturing and analyzing real-time activities and facial cues of a child user to detect Autism Spectrum Disorder (ASD). The artificial intelligence-enabled camera 104 comprises of an image capturing arrangement including a set of lenses that captures multiple images of real-time activities and facial cues of the user, and the captured images are stored within memory of the imaging unit in form of an optical data.

[0031] The artificial intelligence-enabled camera 104 also comprises of a processor that is integrated with artificial intelligence protocols, such that the processor processes the optical data and extracts the required data from the captured images. The extracted data is further converted into digital pulses and bits and are further transmitted to the microcontroller. The microcontroller processes the received data and generates behavior patterns based on the analyzed activities for ASD detection.

[0032] An inertial measurement unit (IMU) comprises an accelerometer and gyroscope, installed in the wearable suit 101 to detect a child user’s motor behavior. The IMU captures linear acceleration and angular velocity, transmitting data to a microcontroller. The microcontroller evaluates movement abnormalities, potentially indicative of Autism Spectrum Disorder (ASD), generating structured outputs stored securely for clinical assessment. The microcontroller operates in real-time, with the accelerometer and gyroscope adjusting to motion dynamics, ensuring accurate data collection.

[0033] The gyroscope herein consists of a spinning rotor that maintains its axis of rotation. When the user tilts or changes its inclination, the gyroscope's rotor tends to resist this change due to its angular momentum. The resistance to changes in orientation allows the gyroscope to detect the inclination level of the user. By measuring the forces applied as the rotor resists the changes in orientation, the gyroscope determines the inclination level of the user with respect to the suit 101 which is then send to the microcontroller.

[0034] A user interface inbuilt within the computing unit accessed by the user that includes but is not limited to a smartphone and laptop for receiving user-related parameters including age. The computing unit is linked with the microcontroller via an integrated communication module that includes but is not limited to a GSM (Global System for Mobile Communication) module, Wi-Fi module, or a Bluetooth module which is capable of establishing a wireless network between the microcontroller and the computing unit.

[0035] The computing unit used herein is capable of computing operations according to the user’s desire with the help of the user interface. Based on the age input, the microcontroller executes a calibration process, adjusting pre-defined movement thresholds and behavioral pattern recognition. This age-based calibration ensures that the subsequent analysis of data from the camera 104 and the IMU is contextually relevant to the user's developmental stage, thereby facilitating a more accurate assessment of age-specific autistic tendencies.

[0036] Simultaneously, the microcontroller processes the input of the user's age and the continuous capture of behavioral patterns through the camera 104 and the Inertial Measurement Unit (IMU). For instances, when the analyzed behavioral patterns surpass the pre-defined, age-specific thresholds for concern, the microcontroller autonomously generates early warning alerts. The alerts are then transmitted to the caregivers, thereby prompting the initiation of a formal professional evaluation for ASD.

[0037] A plurality of intervention modules is integrated within the suit 101, each communicatively linked to the microcontroller to facilitate targeted interventions. The modules address specific manifestations associated with autistic tendencies. The modules include a plurality of T-shaped pins 105, a motorized foam roller module 106, a finger guidance module, and a heating unit 110 embedded within sleeves. The plurality of T-shaped pins 105 is incorporated into the suit's arm sections.

[0038] Upon activation by the microcontroller, these pins 105 extend outwards, providing a physical barrier or tactile cue to impede or redirect excessive or repetitive arm movements. The extension of these pins 105 is precisely controlled in terms of timing and extent, aiming to gently discourage unwanted movements and promote more controlled arm extension. The motorized foam roller module 106 is integrated into the suit 101, positioned to roll across the user's arms. Upon activated by the microcontroller, the roller module 106 initiates a controlled rolling motion.

[0039] This action provides tactile stimulation and gentle pressure to the arm muscles, intended to interrupt and reduce the frequency and intensity of repetitive arm movements. The speed and pressure of the rolling action are calibrated by the microcontroller. The finger guidance module comprises motorized hinges 107, linkages 108, and individual finger rings 109. Upon activation, the motorized components manipulate the linkages 108 connected to the finger rings 109, thereby facilitating controlled stretching of the user's fingers and guides them through specific movement patterns.

[0040] Additionally, the finger rings 109 are automatically actuated to deliver calibrated resistance during stretching exercises. This resistance is dynamically adjusted by the microcontroller based on the detected intensity of the user's repetitive hand motions, providing suitable feedback. The heating unit 110 is embedded within the sleeves of the suit 101 to generate controlled warmth. This localized heat application is intended to provide therapeutic relief to the user's arms, potentially easing muscle tension or sensory sensitivities that may contribute to discomfort or repetitive behaviors. The temperature and duration of heat application are regulated by the microcontroller.

[0041] The heating unit 110 used herein is made up of metal and uses electricity as the energy source. The heating unit 110 uses electrical resistance to convert the electric energy into heat energy which is then transferred through to an air medium over the sleeves. The heating unit 110 also employs thermostats for regulating the temperature of heat and activate or deactivate the heating unit 110 to maintain the desired level of heating for therapeutic relief.

[0042] The foot protection assembly designed to mitigate self-injurious risks associated with repetitive kicking behaviors and to maintain user balance. The foot assembly incorporates electromagnet-based springs 111 positioned superior to the ankle joint, a foot support plate 112 featuring cushion padding 113 and motorized pivot joints 114, and multiple vertically mounted pneumatic protrusions 115 with circular tips. In operation, the electromagnet-based springs 111 act as dynamic shock absorbers, modulating resistance in response to sudden leg movements.

[0043] The foot support plate 112, housing and both the aforementioned springs 111 and the pneumatic protrusions 115, serves as the primary contact interface with the user's foot. The cushion padding 113 enhances user comfort, while the motorized pivot joints 114 facilitate controlled articulation, adapting to shifts in the user's center of gravity. The vertically mounted pneumatic protrusions 115 with circular tips provide dampening against impact forces generated during kicking, thereby absorbing shock and contributing to overall stability and injury prevention.

[0044] The electromagnet-based springs 111 function as active suspension elements. Upon detection of rapid leg movements indicative of kicking, the electromagnets within the springs 111 dynamically adjust their magnetic field strength. This modulation of the magnetic field alters the resistive force exerted by the springs 111, effectively dampening the velocity and impact of the movement. The responsiveness of the electromagnets allows for real-time adaptation to varying intensities and speeds of kicking behaviors, thereby providing controlled resistance and minimizing the transmission of forceful impacts to the user's body.

[0045] The foot support plate 112 serves as the structural foundation of the assembly, directly interfacing with the user's foot. The cushion padding 113 is configured to provide comfort and further attenuate impact forces. Additionally, the motorized pivot joints 114 driven by miniature motors, facilitate controlled angular movement of the plate 112 relative to the user's foot and ankle. This dynamic pivoting capability enables the assembly to adapt to changes in the user's posture and center of gravity, actively contributing to the maintenance of balance during both static and dynamic activities, including instances of repetitive kicking.

[0046] The multiple vertically mounted pneumatic protrusions 115 are strategically integrated into the foot support plate 112. Each protrusion contains a compressible air chamber. Upon impact resulting from sudden leg movements or kicking, these pneumatic protrusions 115 compress, dissipating kinetic energy through controlled air displacement. The circular tips of the protrusions 115 ensure a broad contact surface, minimizing pressure points and preventing localized injury. The collective action of these pneumatic elements provides a distributed and effective mechanism for shock absorption, thereby reducing the force transmitted to the user's foot and ankle during impact events.

[0047] A noise detection and response unit integrates a noise sensor affixed to the user's suit 101 and control logic to mitigate auditory stress. Upon the noise sensor's detection of sound exceeding a pre-defined high-decibel threshold, the noise detection and response unit automatically initiates the lowering of a headband 116 onto the user's ears. Simultaneously, the noise detection and response unit activates the music playback functionality within the headband 116. This dual action of physical ear covering and the introduction of calming auditory stimuli aims to reduce the user's exposure to the distressing high-decibel sound and provide a counteracting soothing auditory experience.

[0048] The noise sensor herein functions as the primary auditory input transducer for the noise detection and response unit. This noise sensor continuously monitors the ambient sound pressure levels. Upon the detection of sound waves exceeding a pre-calibrated decibel threshold, the noise sensor transmits an electrical signal to the control unit of the noise detection and response unit. This signal serves as the trigger for the subsequent automated responses, namely the lowering of the headband 116 and the activation of music playback.

[0049] The headband 116 is designed for placement over the user's ears, incorporating an active noise cancellation module and a speaker 119. The headband 116 is attached to the suit 101 via pneumatic rods 117 and ball-and-socket joints 118, enabling both vertical movement and rotational adjustment. The active noise cancellation module generates anti-noise sound waves to attenuate external high-decibel sounds reaching the user's ears. Simultaneously, the integrated speaker 119 plays calming music, providing an alternative auditory stimulus intended to reduce auditory stress.

[0050] The pneumatic rods 117 herein serve as dynamic linkages 108 connecting the headband 116 to the suit 101. These rods 117 are actuated by compressed air, allowing for controlled extension and retraction. Upon the detection of a high-decibel sound by the noise sensor, the control unit signals the pneumatic rods 117 to retract, thereby lowering the headband 116 from a resting position onto the user's ears. Synchronously, these rods 117 extend to lift the headband 116 away from the ears when the high-decibel sound ceases or is no longer detected. This pneumatic actuation facilitates rapid and adjustable positioning of the headband 116.

[0051] The ball-and-socket joints 118 are incorporated at the interface between the pneumatic rods 117 and the headband 116. These mechanical joints 118 provide a multi-axial range of rotational motion. This articulation allows the headband 116 to pivot and conform to the user's head contours and movements, ensuring consistent and comfortable coverage of the ears regardless of slight shifts in head position. The ball-and-socket joints 118, in conjunction with the pneumatic rods 117, contributes to the dynamic adjustment and maintained sensory relief provided by the headband 116.

[0052] A speech-assistance module integrates an embedded ultrasonic sensor and the camera 104 to identify user attempts at speech initiation. Upon detection of such attempts, the module activates an audio playback unit housed within the microcontroller. This audio playback unit is configured to segment target words and pronounce each segment audibly. The module facilitates a listen-and-mimic learning process for the user through this segmented audio playback, incorporating personalized voice settings for enhanced clarity and engagement. Simultaneously, the ultrasonic sensor monitors the user's mouth movements, providing supplementary data regarding their efforts to articulate words.

[0053] The embedded ultrasonic sensor within the speech-assistance module functions by emitting high-frequency sound waves and detecting the reflected echoes. The ultrasonic sensor is strategically positioned to monitor the area around the user's mouth. When the user initiates mouth movements associated with speech attempts, these movements cause variations in the reflected ultrasonic waves. The sensor detects these changes and transmits corresponding signals to the microcontroller, indicating an intention to speak. This detection of speech initiation attempts serves as a trigger for the activation of the audio playback unit.

[0054] The audio playback unit, integrated within the microcontroller, is responsible for the generation of segmented and personalized audio output of target words. Upon receiving a trigger signal from the ultrasonic sensor or the camera 104 indicating a speech initiation attempt, the playback unit retrieves the target word. It then processes this word, breaking it down into phonetic segments. Each segment is subsequently synthesized into an audible output, played through a connected speaker 119. The unit also incorporates functionality for personalized voice settings, allowing for adjustments to parameters such as speech rate, pitch, and intonation to optimize the user's learning experience.

[0055] An air cushion section, positioned at chest level, operates by applying controlled, mild compression to the user's torso. This compression is achieved through the inflation of an internal air bladder within the section. The gentle pressure exerted by the inflated air cushion provides proprioceptive feedback and support to the muscles involved in respiration and phonation. This external support facilitates in stabilizing the user's breathing patterns and modulating airflow, thereby facilitating improved speech articulation and vocal control during speech attempts detected by the speech-assistance module.

[0056] A sensing module affixed to the headband 116, to acquire physiological data pertaining to the user's brainwave activity and real-time breathing rate. The sensing module incorporates two primary sensor types: A Fiber Bragg Grating (FBG) sensor and an Electroencephalogram (EEG) sensor.

[0057] The Fiber Bragg Grating (FBG) sensor used herein is an optical sensor that uses a segment of optical fiber with a periodic variation in the refractive index, known as the Bragg grating. This grating reflects specific wavelengths of light while transmitting others. When the fiber is subjected to strain, temperature changes, or pressure, the reflected wavelength (Bragg wavelength) shifts. By measuring this shift, the FBG sensor accurately detect and quantify physical parameters such as heart rate and blood pressure of the user while using the device and transfer the data to the microcontroller in the form of electrical signals.

[0058] The Electroencephalogram (EEG) sensor mentioned herein detects and measures the electrical activity generated by the user's brain. Electrodes placed on the headband 116 make contact with the scalp, picking up these minute electrical signals. The EEG sensor amplifies these signals and transmits them to the microcontroller for analysis. The microcontroller is programmed to identify specific patterns within the EEG data that are indicative of stress or overstimulation.

[0059] Based on detected stress or overstimulation signals from the sensing module, the microcontroller triggers the rhythmic haptic feedback in the air cushion sections 102 to provide sensory modulation. This feedback is delivered through the air cushion sections 102 of the assembly. The microcontroller controls the inflation and deflation of the air cushions in a patterned, rhythmic manner. This pulsating pressure against the user's chest is intended to provide a calming and grounding sensory input, counteracting the detected state of stress or overstimulation.

[0060] Additionally, the microcontroller identifies relevant behavioral trends, and assess the user's cognitive, emotional, and speech-related states. The derived behavioral trends and user progress metrics are then persistently stored in a non-transitory memory unit integrated within the computing unit. This stored data facilitates longitudinal monitoring of the user's development and the effectiveness of the assistive technologies over time.

[0061] Lastly, a battery is installed within the device which is connected to the microcontroller that supplies current to all the electrically powered components that needs an amount of electric power to perform their functions and operation in an efficient manner. The battery utilized here, is preferably a dry battery which is made up of Lithium-ion material that gives the device a long-lasting as well as an efficient DC (Direct Current) current which helps every component to function properly in an efficient manner. As the device is battery operated and do not need any electrical voltage for functioning. Hence the presence of battery leads to the portability of the device i.e., user is able to place as well as moves the device from one place to another as per the requirements.

[0062] The present invention works best in following manner, where the device functions through the coordinated operation of the microcontroller and multiple integrated modules to enable early detection and intervention of Autism Spectrum Disorder (ASD) in children. The wearable suit 101 comprises the air cushion padding sections 102 distributed across different body regions, inflated via the air inflating module based on the child's body dimensions, and controlled through the microcontroller via the solenoid valves 103. The AI-enabled camera 104 mounted on the suit 101 captures real-time activities and facial cues, while the inertial measurement unit, including the accelerometer and gyroscope, detects motor behavior. The microcontroller processes data from these components to generate behavior patterns and identify movement abnormalities. Based on user-related parameters such as age, input through the user-interface, the microcontroller calibrates behavior thresholds to assess age-specific autistic tendencies and generates early warning alerts. The intervention modules, including the T-shaped pins 105, the motorized foam roller module 106, the finger guidance module with actuated finger rings 109, and the heating unit 110, operate in response to the behavior patterns. The foot protection assembly absorbs impact and maintains balance during repetitive kicking. The noise detection and response unit activates the headband 116 and music playback during auditory stress. The speech assistance module and sensing module further aid in speech development and emotional regulation. The microcontroller continuously processes multimodal input and stores behavioral trends in the non-transitory memory for long-term monitoring.

[0063] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) A wearable safety device for early detection and intervention of autism spectrum disorder (ASD) in children, comprising:

i) a wearable suit 101 configured with multiple air cushion padding sections 102 distributed across different body regions, wherein each section is interconnected via one or more solenoid valves 103, and an air inflating module is associated with said suit 101 for inflating said cushion sections 102 based on body dimensions of a child user;
ii) an artificial intelligence enabled camera 104 mounted on said suit 101 and operatively linked with a processor for capturing and analyzing real-time activities and facial cues of said user, wherein a microcontroller generates behavior patterns based on said analyzed activities for ASD detection;
iii) an inertial measurement unit (IMU) comprising at least one accelerometer and one gyroscope installed in said suit 101 for detecting motor behavior of said user, wherein said microcontroller evaluates movement abnormalities based on detected motion data;
iv) a user-interface inbuilt in a computing unit for receiving user-related parameters including age, wherein based on said age input, said microcontroller calibrates movement thresholds and behavior patterns to assess age-specific autistic tendencies;
v) a plurality of intervention modules integrated with said suit 101 and communicatively linked to said microcontroller, wherein said modules include:
a) a plurality of T-shaped pins 105 for arm extension movements;
b) a motorized foam roller module 106 for rolling across arms to reduce repetitive motion;
c) a finger guidance module including motorized hinges 107, linkages 108, and finger rings 109 for aiding finger stretching and controlled movement;
d) a heating unit 110 embedded within sleeves for generating warmth for therapeutic relief.

vi) a foot protection assembly including electromagnet-based springs 111 arranged above the ankle, a foot support plate 112 having cushion padding 113 and motorized pivot joints 114, and multiple vertically mounted pneumatic protrusions 115 with circular tips for reducing impact from sudden leg movements;
vii) a noise detection and response unit comprising a noise sensor mounted on said suit 101, and a headband 116 attached to said suit 101 using pneumatic rods 117 and ball-and-socket joints 118, wherein said headband 116 includes an active noise cancellation module and a speaker 119 for playing calming music when loud or distressing sounds are detected;
viii) a speech-assistance module comprising an embedded ultrasonic sensor and said AI camera 104 for detecting speech initiation attempts, an audio playback unit integrated within said microcontroller configured for breaking and pronouncing target words in segments, and an air cushion section at chest level to apply mild compression for supporting speech articulation; and
ix) a sensing module mounted on said headband 116 for measuring brainwave activity and real-time breathing rate of said user, wherein data from said sensing module, and said AI camera 104 are collectively processed by said microcontroller to assess cognitive and emotional states of said user.

2) The device as claimed in claim 1, wherein said sensing module comprises of a fiber Bragg grating (FBG) sensor and an EEG sensor.

3) The device as claimed in claim 1, wherein based on said user age input and behavioral patterns detected from said AI-enabled camera 104 and said IMU, said microcontroller generates early warning alerts to caregivers for initiating professional ASD evaluation.

4) The device as claimed in claim 1, wherein said finger rings 109 of said finger guidance module are automatically actuated to provide calibrated resistance stretching based on user-specific repetitive hand motion intensity.

5) The device as claimed in claim 1, wherein said EEG sensor is integrated with said microcontroller to trigger rhythmic haptic feedback via said air cushion sections 102 in response to detected stress or overstimulation signals.

6) The device as claimed in claim 1, wherein said noise detection and response unit is configured to automatically lower said headband 116 onto ears of said user upon detection of high-decibel sound, and further activate said music playback to reduce auditory stress.

7) The device as claimed in claim 1, wherein said speech assistance module enables the user to listen and mimic words through audio playback with personalized voice settings, said ultrasonic sensor detects user’s mouth movements and attempts to form word.

8) The device as claimed in claim 1, wherein said foot support plate 112 is comprising of said electromagnet springs 111 and pneumatic protrusions 115 which absorbs shock during repetitive kicking behavior and maintains user’s balance without causing self-injury.

9) The device as claimed in claim 1, wherein said microcontroller processes multimodal input data from said sensors and modules and stores behavioral trends in a non-transitory memory for monitoring user progress over time.

10) The device as claimed in claim 1, wherein said pneumatic rods 117 connected to said headband 116 enable dynamic adjustment of said headband’s vertical positioning according to user head movement for maintaining sensory relief.

Documents

Application Documents

# Name Date
1 202521052018-STATEMENT OF UNDERTAKING (FORM 3) [29-05-2025(online)].pdf 2025-05-29
2 202521052018-REQUEST FOR EXAMINATION (FORM-18) [29-05-2025(online)].pdf 2025-05-29
3 202521052018-REQUEST FOR EARLY PUBLICATION(FORM-9) [29-05-2025(online)].pdf 2025-05-29
4 202521052018-PROOF OF RIGHT [29-05-2025(online)].pdf 2025-05-29
5 202521052018-POWER OF AUTHORITY [29-05-2025(online)].pdf 2025-05-29
6 202521052018-FORM-9 [29-05-2025(online)].pdf 2025-05-29
7 202521052018-FORM FOR SMALL ENTITY(FORM-28) [29-05-2025(online)].pdf 2025-05-29
8 202521052018-FORM 18 [29-05-2025(online)].pdf 2025-05-29
9 202521052018-FORM 1 [29-05-2025(online)].pdf 2025-05-29
10 202521052018-FIGURE OF ABSTRACT [29-05-2025(online)].pdf 2025-05-29
11 202521052018-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [29-05-2025(online)].pdf 2025-05-29
12 202521052018-EVIDENCE FOR REGISTRATION UNDER SSI [29-05-2025(online)].pdf 2025-05-29
13 202521052018-EDUCATIONAL INSTITUTION(S) [29-05-2025(online)].pdf 2025-05-29
14 202521052018-DRAWINGS [29-05-2025(online)].pdf 2025-05-29
15 202521052018-DECLARATION OF INVENTORSHIP (FORM 5) [29-05-2025(online)].pdf 2025-05-29
16 202521052018-COMPLETE SPECIFICATION [29-05-2025(online)].pdf 2025-05-29
17 Abstract.jpg 2025-06-16