MUMBAI, India, Sept. 7 -- Intellectual Property India has published a patent application (202641104223 A) filed by St. Peters Engineering College Autonomous on August 29, 2026, for Ai Based Multimodal Assistive System For Real-Time Activity And Behavioral Recognition Of Autism Children.
Inventors include Dr. P. Deepan; Mr. B. Bharath Kumar; Mrs. D. Divya; Mrs. P. Amaleswari; Mrs. A. Swathi; Mr. N. Sravan Kumar; Mr. P. Bharath Kumar; Mr. V. Santhosh Kumar; Mrs. Durga Sravanthi Yedidi; Mr. Ch. V. Ganesh; and Mr. G. Srujan Reddy.
The application for the patent was published on September 04, 2026, under issue no. 36/2026.
Abstract: ABSTRACT Supporting children with autism in educational environments is important for promoting inclusive education, safety, communication, and personalized learning. Autism children may exhibit diverse activity patterns, repetitive movements, communication difficulties, attention variations, and behavioral changes that can be challenging to identify continuously through conventional observation. Intelligent monitoring technologies can assist educators and caregivers by providing continuous information about the activities and behaviors of children with autism. In order handle this, AI-enabled multimodal assistive system is developed for autism children. The developed system continuously monitors, records the activities and behavioral patterns of children at repeated intervals using multiple sensing modalities in three different levels. Level 1 uses camera sensors to capture body movements, postures and facial expressions. Level 2 uses wearable sensors to capture motion- related parameters such as acceleration, orientation, and movement patterns. Level 3 uses audio and environmental sensors to capture vocal activities, sound patterns, and surrounding classroom conditions. The data collected from the three levels are transmitted to a processing platform, where it is preprocessed and analyzed using Convolutional Neural Network model. The developed system identifies different human activities, repetitive movements, behavioral variations, interaction patterns, and potentially abnormal or safety-related events. The system generates real-time alerts to teachers, caregivers, and parents when abnormal or potentially unsafe activities are detected. The system reduces the manual observation, supports early identification of behavioral changes and improves safety to autism children’s.
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