MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641121034 A) filed by Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College; Madhavi S; Abinaya R; Dhanushri M; Divya Priya V; and Vellum Chandhana Priya on October 09, 2026, for Iot-Based Smart Wearable Rehabilitation System For Personalized Monitoring System0.
Inventors include Madhavi S; Abinaya R; Dhanusbri M; Divya Priya V; and Velluru Chandhana Priya.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: However, rehabilitation exercises are usually performed by patients without continuous postural and joint angles observation by a physiotherapist, making the identification of incorrect movement more difficult. Incorrect movement may result in inefficient rehabilitation and extended recovery time. There may be difficulties in using standard rehabilitation applications due to screen interaction requirements for elderly patients. The invention provides a Smart Rehabilitation System Using Real- Time Corrective Algorithm and Movement Detection Exercise Monitoring System that will be used to observe and provide real-time feedback on the rehabilitation. exercises. The system will consist of an inertial sensor and a flex sensor, that will measure the joint movement and bending. Afterward, the information will be processed by the ESP32 microcontroller, which will determine the joint angle. The joint angle determined by the system will be compared to the prescribed angle range, which will allow the assessment of whether the exercise was performed correctly. In case of correct exercise performance, the vibration feedback will be provided by the system. However, in case of the detection of incorrect position, the system will generate a notification or voice feedback. The system automatically tracks repetitions, joint-angle measurement, and incorrect positions. The data collected during rehabilitation can be transferred using Wi-Fi and BLE technology to the application where the data will be graphed and logged. The system developed has been able to develop a smart IoT based real time rehabilitation system that can be used to detect movement, analyze joint angles, provide feedback, record exercises and log data. Keywords: Wearable Device, Rehabilitation Monitoring, Real-Time Movement Detection, Corrective Feedback, Personalized Calibration, Remote Patient Monitoring.
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