MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641085448 A) filed by Kalasalingam Academy Of Research And Education on July 13, 2026, for Computer Vision Based System For Automated Detection Of Repetitive Behaviours And Stereotypies In Autism Spectrum Disctrum.
Inventors include V. Krishnamoorthy; Dr. T. Arunprasath; and Dr. M. Pallikonda Rajasekaran.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: ABSTRACT Title: COMPUTER VISION-BASED SYSTEM FOR AUTOMATED DETECTION OF 5 REPETITIVE BEHAVIOURS AND STEREOTYPIES IN AUTISM SPECTRUM DISORDER I 10 15 This invention relates to a computer vision-based system for automated detection of repetitive behaviours and stereotypies in autism spectrum disorder. It typically includes a Video Acquisition Module (1), a Pose Estimation Module (2), a Skeletal Tracking Module (3), a Feature Extraction Module (4), a Machine Learning Module (5), an Explainable Al (XAI) Module (6), an Automated Report Generation Module (7), a Storage Module (8), an User Interface (9), a System Framework (10).This system provides a non-contact, objective, and automated diagnostic platform that enhances clinical accuracy by enabling real-time quantification of repetitive behaviours and continuous longitudinal monitoring without the need for intrusive wearable sensors. This is applicable for objective early screening, real-time diagnostic support, and continuous therapeutic monitoring of autism spectrum disorder, as well as for tracking motor deficits in other conditions such as ADHD, Parkinson’s disease, and stroke rehabilitation. Figure 1. Shows the flow diagram of the proposed invention.
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