ASD behavioral analysis and abilities bridge app
A mobile app using AI for objective ASD analysis and support offers comprehensive behavioral tracking and emergency alerts, addressing subjective diagnostic challenges and enhancing ASD management.
Patent Information
- Application Number
- PCT/IB2025/060886
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-10-26
- Publication Date
- 2026-03-05
AI Technical Summary
Current methods for diagnosing and managing autism spectrum disorder (ASD) are subjective, resource-intensive, and lack comprehensive, objective data analysis, leading to delayed or inaccurate diagnoses and inadequate support strategies.
A mobile app that uses artificial intelligence to analyze usage behavior parameters from a mobile device, tracks movements and facial expressions, and connects to larger databases to provide detailed written reports and emergency alerts, offering objective behavioral analysis and support.
Provides objective, data-driven insights for caregivers, enabling early detection of behavioral changes, improved self-esteem, and enhanced social integration for individuals with ASD, with features like panic buttons and pattern tracking.
Smart Images

Figure IB2025060886_05032026_PF_FP_ABST
Abstract
Description
ASD Behavioral Analysis and Abilities Bridge App
[0001] Autism spectrum disorder (ASD) is a neurodevelopmental illness caused by changes in brain structure and function. Some individuals with autism spectrum disorder (ASD) exhibit a recognized deviation, such as a genetic anomaly, while others may exhibit unknown abnormalities. These discrepancies can impact communication, social engagement, and perception.
[0002] Researchers are continuously conducting research to elucidate the etiology of ASD and its impact on individuals with ASD. People with autism spectrum disorder (ASD) may display unique and recognizable patterns of behavior, communication, social interaction, and cognitive development that differ from what is considered typical. It is critical to acknowledge and understand these distinctions in order to provide appropriate assistance and adjustments.
[0003] They frequently lack unique physical traits that differentiate them from others. This program, which is only available to parents, allows for the monitoring and regulation of children with autism spectrum disorder's behavior, emotions, and range of motion.
[0004] G16H50 / 20 – A61B5 / 00 – G06F3 / 01
[0005] JP2023168650
[0006] APPLICATION SOFTWARE
[0007] Application software is for use by children including children with autism, and adults including their guardians. The application software is capable of displaying interested objects of the children including the children with autism on a screen of a communication terminal apparatus and allowing the children to operate freely. The movement of the interested objects can be made in response to live broadcasts in words of the adults including their guardians, and words uttered by the children including the children with autism. The application software is for use by the children including the children with autism, and the adults including their guardians.
[0008] This application has some common ground with our claimed invention but the main focus here is on language development while our application may be of use in a more comprehensive way. This mobile app can be used by anyone, including individuals with ASD whereas our software is specifically designed for ASD diagnosis or monitoring.
[0009] CN113194816
[0010] METHOD, DEVICE AND SYSTEM FOR ASSESSING AN AUTISM SPECTRUM DISORDER
[0011] The present invention relates to the field of autism spectrum disorder diagnostics and disease management. Specifically, it relates to a method assessing an autism spectrum disorder in a subject comprising the steps of determining at least one usage behavior parameter from a dataset comprising usage data for a mobile device within a first predefined time window wherein said mobile device has been used by the subject and comparing the determined at least one usage behavior parameter to a reference, whereby an autism spectrum disorder will be assessed. The present invention also relates to a mobile device comprising a processor, at least one sensor recording usage data and a database as well as software which is tangibly embedded to said device and, when running on said device, carries out the aforementioned method. Also contemplated by the invention is a system comprising a mobile device comprising at least one sensor recording usage data and a remote device comprising a processor and a database as well as software which is tangibly embedded to said device and, when running on said device, carries out the aforementioned method, wherein said mobile device and said remote device are operatively linked to each other. Also, the invention relates to the use the mobile device or the system for assessing an autism spectrum disorder analyzing a dataset comprising usage data for a mobile device within a first predefined time window wherein said mobile device has been used by the subject.
[0012] This patent and our claimed invention are similar in their accessibility and use of data collection, but their assessment and evaluation process does no utilize artificial intelligence like ours. Also, the result of their analysis is not offered in the form of a written report.
[0013] US20200388400
[0014] METHOD AND SOFTWARE FOR ASSESSING NEURODEVELOPMENTAL ABNORMALITIES
[0015] Neurological abnormalities are often discovered through observation by health care providers, and / or parent report. Many neurodevelopmental disorders such as ASD are purely identified through behavioral analysis, and cannot be screened for using a biomarker or quantitative stimulus-response test. Current screening tools contain subjective components based on parent report and clinician observation, vary in consistency of use across providers, and demands resources, knowledge, and access to skilled expertise. As a result, the only tests used today require lengthy and subjective behavioral analysis and often, miss or misidentify neurodevelopmental disorders contributing to a delayed diagnosis. The technology disclosed herein allow for a solution to this systemic problem.
[0016] This method operates through a specific device that contains several parts and its primary focus is to assess the risk of neurodevelopmental diseases including ASD. While our invention focuses on behavioral analysis and detecting patterns over time and can be installed on any device.
[0017] In this method there is no user friendly interface accessible on cellphones, available to parents for receiving detaild feedback, which is different than our software. Also, their design does not use AI, online databases or wide-ranging data collection but ours does benefit from these features.
[0018] US20150099946
[0019] SYSTEMS, ENVIRONMENT AND METHODS FOR EVALUATION AND MANAGEMENT OF AUTISM SPECTRUM DISORDER USING A WEARABLE DATA COLLECTION DEVICE
[0020] The systems, environment, and methods, described herein support evaluation of an individual for ASD while in the home environment. Through data collected by a wearable data collection device donned by the individual, eye contact with the caregiver, verbal interaction, and repetitive verbalizations and motions of the head and body may be tracked and objectively quantified during evaluation. Further, the wearable data collection device may support monitoring of brain activity and other physiology which, in turn, may be analyzed by the systems and environment described herein during evaluation to recognize patterns that predict evaluation outcome and other clinical features. Various software modules and tools supported by the wearable data collection device provide training, ongoing progress tracking, and management solutions for individuals living with ASD.
[0021] This invention entails a method that can be used in a controlled environment, which is not applicable for daily use. It comprises of a wearable device, but ours is a software. Moreover this mentioned invention does not beneft from an artificial intelligence system, and lacks access to larger databases so the feedback is not comprehensive like in our design. Also, this patent does not offer detailed written report but ours does.
[0022] WO2023149653
[0023] AUTISM DIAGNOSIS SYSTEM USING MULTI-INDICATOR-BASED ARTIFICIAL INTELLIGENCE
[0024] The present invention relates to an autism diagnosis system using multi-indicator-based artificial intelligence, the autism diagnosis system comprising: a user interface which obtains speech data obtained from a subject, image data obtained by capturing an image of the subject, and childhood autism rating scale (CARS) data of the subject; and a server configured to transmit and receive data by communicating with the user interface and configured to determine a degree of autism disorder through ensemble analysis using a plurality of artificial intelligences.
[0025] This mentioned system is similar to our invention because it uses an artificial intelligence sysem. But the main focus here is to determine the degree of autism in the subject and running a diagnostic whereas our method is about data collection and behavioral analysis.
[0026] CN113571159
[0027] AUTISM SPECTRUM DISORDER CHILD REHABILITATION NURSING SYSTEM BASED ON ARTIFICIAL INTELLIGENCE
[0028] The invention relates to the technical field of rehabilitation of artificial intelligence and Internet technology, and 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.
[0029] This mentioned invention uses similar artificial intelligence technologies as ours but functions as an ASD child rehabilitation nursing system, while ours is a monitoring service. Also, it features voice recognition and smart dialogue while ours prepares analytical reports based on movement tracking and data collection.
[0030] This invention involves software that uses artificial intelligence to provide surveillance for caregivers of children with ASD. It helps parents monitor their children, offers insights for caregiving, and suggests methods for social integration and self-esteem. The software can be installed on the parents' device to collect data whenever the child is using the phone. It tracks movement through the phone camera and analyzes the child's behavior using face matching and motion detection. The software connects to larger databases and includes a panic button for emergencies.
[0031] Autism spectrum disorder (ASD) include individuals with known genetic abnormalities as well as those with alterations that are not fully understood. Carrying out genetic investigations to uncover certain variations linked to ASD and comprehending their effects on the structure and functioning of the brain is a proposed.
[0032] Individuals with autism spectrum disorder (ASD) display inconsistencies in speech, social interaction, and perception. Among the available care and rehabilitation options, there is room for improvement when it comes to the development and implementation of tools and procedures to improve the diagnosis and comprehension of these differences, with the aim of creating customized intervention programs.
[0033] It is prevalent issue that the root causes of autism spectrum disorder (ASD) are yet unknown. Therefore, conducting an ongoing study to clarify the factors that contribute to autism spectrum disorder (ASD), such as genetic, environmental, and neurological elements is a valueable step. It could lead to a data bank to analyze and classify the ASD individuals' distinct behavioral patterns in order to offer appropriate support and adaptations in educational and social environments. In order to develop the appropriate aid, it is necessary to raise awareness and provide training to educators, caregivers, and healthcare professionals to ensure they can offer suitable support and accommodations for individuals with autism spectrum disorder (ASD). There is also the need for proper surveillance methods for the parents, so that they can oversee and control the conduct, mobility, and physical capabilities of a child with ASD. Developing and deploying software and applications specifically designed for parents, would enable them to successfully monitor and control their child's behavior and movements.Solution of Problem
[0034] Without the child's knowledge, the embedded artificial intelligence in this software analyzes every movement of their child while it is running on the parents' mobile phones. This data is then used to provide feedback and insights to the parents regarding their child's physical activity levels and overall health. The software aims to help parents make informed decisions about their child's well-being based on the information collected. After analysis, the results are provided to the parents in written form. These periodic reports will detail all movements of the child with autism after thorough comparison and analysis. The software has the ability to track the whereabouts of the autistic person, and if any misconduct takes place, the camera will record it and notify the parents. The camera and tracking service on the phone of the individual with autism are always active. This feature is not available for younger children. The software also includes a panic button that the individual with autism can use in case of an emergency. This additional safety measure provides peace of mind for parents and caregivers, knowing that help can be summoned quickly if needed.
[0035] The software includes comparative analysis, where, annually, the face and behavior of the individual with autism are compared with similar samples in the database. Artificial intelligence is using technologies like face recognition, facial emotion recognition, behavioral analysis, face matching and comparison, and motion detection to perform this analysis and comparison. This feature allows for early detection of any changes in behavior or appearance that may indicate a potential issue, providing an extra layer of security for the individual with autism. Additionally, the software can also track patterns and trends over time, helping caregivers and professionals better understand and support the individual's needs.Advantage Effects of the Invention
[0036] Using this application, individuals with ASD will benefit from such advanages:
[0037] • Preservation of self-esteem
[0038] • Enhancement of individual skills
[0039] • Faster integration with society
[0040] • Increased word production through exercises.
[0041] • Easier expression of emotions and establishing eye contact
[0042] Shows a flowchart of the designed software.
[0043] Displays a flowchart of the the mechanisms and services performed by the ASD behavioral analysis and ability bridge gap application, the application is installed on the parent's phone and starts collecting data whenever the child uses it, through movement tracking and user input. The software uses this data to prepare the child's overall performance. It also utilizes artificial intelligence technologies such as face recognition to detect any changes in the child's appearance and behavior. The software can connect to larger databases to track any patterns and offer care-giving solutions. A panic button is also provided for emergencies that can alert the authorities.Examples
[0044] The invention is a helpful tool for concerned care-givers of young individuals with ASD. Once they install the software and create a profile, the process of data collection is activated whenever the child uses the device. This data collection can provide the parents with crucial information regarding the well-being of the child. This information includes feedback on the child's activities and health, written comparative analysis, and behavioral development reports. The application also features movement tracking through cameras and a panic button for emergencies. Overall it is a step in recognizing the behavioral patterns and needs of the child as a way to be able to offer better care and support.
[0045] The process of installing and using this software will include these steps:
[0046] 1. Register on the website or mobile application with email or cell number
[0047] 2. Verify the account
[0048] 3. Login to the application
[0049] 4. Fill in the baby's information: Name, Actual birth date=AN, Projected due date (Normal):N
[0050] 5. Take an id (start from B1000 for boys and G1000 for girls)
[0051] 6. Create a chat environment inside the software.
[0052] Other than the daily access of parents and care-givers of individuals with ASD, this invention may be helpful to doctors, nurses, teachers and other parties in educational and medical facilities, institutions and rehabilitation centers.
Claims
An Autism Spectrum Disorder Ability Bridge Application based on Artificial Intelligence and written in Python language which analyzes and monitors the Autistic children and reports to their parents featuring online databases.According to claim 1, the software utilizes movement tracking and analyzes the child's physical activities and health to present a feedback in a written form.According to claim 2, the designed software uses the collected database of the children to compare the chidren's behaviors annually and periodically.According to claim 3, the artificial intelligent software uses technologies such as face recognition, face matching and motion detection to detect any changes in appearance and behaviour of the child.According to claim 4,the smart program connects to larger online databases to find behavioral patterns and use them to suggest new caregiving options.Accoding to claim 5, there is also a panic button for emergency situations that notifies the medical services.
Citation Information
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