IoT-Enabled Hand Rehabilitation System for Stroke Survivors

This project aims to develop a low-cost robotic glove to assist stroke patients in regaining hand mobility and strength. The device integrates flex sensors to detect finger movement intent

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Step 1: Sensing Finger Movement •The user wears the glove and attempts to move their fingers. •Flex sensors, attached to each finger, detect the bending motion. •When the user bends a finger, the flex sensor’s resistance changes. •The Arduino reads this change in resistance as an analog signal. Step 2: Signal Processing •The Arduino converts the analog signals from the flex sensors into digital values. •These values are mapped to specific angles for the servo motors. •For example, a slight bend might correspond to a 30° rotation, while a full bend might correspond to a 90° rotation. Step 3: Activating Servo Motors •Based on the mapped values, the Arduino sends PWM (Pulse Width Modulation) signals to the servo motors. •The servo motors rotate to the specified angles, pulling the strings attached to the fingertips. •This mechanical assistance helps the user complete the finger movement. Step 4: Providing Feedback •The system provides real-time feedback to the user

Built With

  • embedded
  • iot
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