Design and Fabrication of Sensing System for Rehabilitation of Finger

Assessment of hand kinematics is essential in the rehabilitation field. This paper presents a sensing system embedded with (6-axis) inertial measurement unit (IMU) sensors. The suggested system can use the finger's accelerations, angular velocities, and range of motion (ROM) which is calculated by a sensor fusion algorithm, to help physicians evaluate the rehabilitation process. In order to survey the reliability and accuracy of the proposed system, the behavior of the sensors is evaluated statically and dynamically. The Root Mean Square Error (RMSE) obtained in static and dynamic states are 2 degrees and 3 degrees, respectively, which represent the optimal function of the fusion algorithm.