MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641104552 A) filed by Dr. S. Rajalaxmi; Ashmita N; Ranjith J C; Niranjan R; and Priyadharshini Vp on August 31, 2026, for Vr Based Rehabilitation With Adaptive Muscle Fatigue Detection.
Inventors include Dr. S. Rajalaxmi; Ashmita N; Ranjith J C; Niranjan R; and Priyadharshini Vp.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: Muscle fatigue is a significant challenge during rehabilitation exercises involving repeated muscle contractions. As fatigue develops, muscle performance and movement quality may decrease, which can affect the effectiveness of rehabilitation. Conventional rehabilitation exercises are often performed at predefined difficulty levels and may not continuously consider the changing muscle condition of the patient. This can result in unsuitable exercise intensity and reduced rehabilitation performance. To address these challenges, the proposed project presents a VR-based rehabilitation system with adaptive muscle fatigue detection. The system combines an interactive Virtual Reality environment with surface EMG electrodes to continuously monitor muscle activity during rehabilitation exercises. The acquired EMG signals are processed using an ESP32-based control unit to identify the level of muscle fatigue. Based on the detected fatigue level, the VR exercise parameters can be modified according to the user's current muscle condition. The proposed system provides a non-invasive and user-friendly approach for personalized rehabilitation by integrating EMG-based muscle monitoring, fatigue detection, and adaptive VR exercise modification. This enables the rehabilitation exercise to respond to changes in muscle condition rather than relying only on fixed exercise levels. The system can improve exercise consistency, user engagement, and responsiveness while reducing the risk of continuing exercises at an unsuitable intensity. Overall, the proposed invention provides a practical and adaptive approach for technology-assisted rehabilitation.
Disclaimer: Curated by HT Syndication.
