Sensor-Based Smart Glove for Rehabilitation of Paralysis Patients

This work aims at representing the design of a system which helps the robotic arm controlling through a sensory glove which can be used for the purpose of rehabilitation for the disabled. The smart glove consists of the controller component that features sensors, which include the Inertial Measurement Units (IMUs) and a sensor board (MPU6050). We have only tested the smart glove with MPU6050IMU, which is a sensory IMU board. We have also used Encoders for the measurement of the rotational movement of the hand. The result showed that the sensor glove successfully showed the finger and the wrist flexion movements. However, the glove requires further changes due to a few drawbacks which includes accuracy. Nonetheless, an improved glove design could even help us increase its applications like the manipulation of the robotic hand to mimic the actual hand movements, or for gesture recognition for the disabled or as a diagnostic tool for finger movements.