Sensor Based Arm Rehabilitation for Post Stroke Patients

Abstract

Noise free data obtained from devices used to track human motion can be used to determine the position, orientation and motion of various parts of human body specially the limbs. These data can be used to determine a proper therapeutic intervention for those people, who face difficulties in moving the different limbs. In our research, we present a method to derive data from sensors like IMU (Inertial Measurement Unit) and Flex sensors and map them to determine the position and orientation of human arm in real time. This will help therapists to ensure proper, accurate and efficient therapeutic intervention for arm rehabilitation of post stroke patients through visualization. The visualization includes a human arm model in 3D space whose position and orientation is determined through forward kinematics using the Denavit-Hartenberg Convention and 3D transformation and rotation