Virtual Booth

This study focuses on the development of a sensor-based rehabilitation glove with real-time monitoring to support stroke patients in their recovery. Traditional rehabilitation methods often lack continuous feedback and real-time progress tracking, which are critical for effective therapy. By integrating low cost flex and gyroscope sensors, this glove captures hand movements and transmits the data via Blynk IoT platform to a mobile application developed using MIT App Inventor, providing immediate feedback to both patients and therapists. The project leverages wearable technology and IoT to enable personalized and accessible home-based rehabilitation. The results aim to enhance recovery outcomes, improve patient engagement, and empower therapists with accurate, real-time data for adaptive treatment strategies.