MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611113818 A) filed by Ajay Kumar Garg Engineering College on September 23, 2026, for Camera-Based Hybrid Ai System And Method For Posture Assessment And Personalized Physiotherapy Recommendation.
Inventors include Aditya Narayan; Ayush Singh Pratap; Aditi Gupta; Ayush Budhiraja; and Arpna Saxena.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: A camera-based hybrid artificial intelligence system (100) and method (200) for posture assessment and personalized physiotherapy recommendation are disclosed. A camera module (102) captures user imagery, from which a pose-estimation module (104) and a normalization module (106) derive body landmarks, further processed by a feature-extraction module (108) into biomechanical descriptors. A hybrid rule and machine-learning engine (116), combining a learned model (112) with a physiotherapy rule engine (114), generates a posture assessment (118). An explainable-AI module (120) and a Personalized Posture Health Index module (122) jointly derive interpretable reasons and a longitudinal score, feeding a recommendation engine (124) that maps deviations to clinician-reviewed exercises, presented via a dashboard (126) and logged in a database (128) for progress tracking. The system provides an accessible, interpretable, closed-loop rehabilitation decision-support tool. (Fig. 1)
Disclaimer: Curated by HT Syndication.
