Human motion tracking approach for stroke rehabilitation

• Main Author: Chua, Evelyn Sock Puay.
• Other Authors: Xie Lihua
• Format: Final Year Project
• Language: English
• Published: 2011
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
• Online Access: http://hdl.handle.net/10356/45372
• Institution: Nanyang Technological University

Real-time tracking of human body motion is an important technology in synthetic environments, robotics, and other human–computer interaction applications [25]. In this project, the author test and experimented the various type of human upper and lower limbs motion tracking with Inertia Measurement Unit. The author works at Singapore Polytechnic for this project. This paper presents the used of inertial measurement unit (IMU) named InterSense Wireless InertialCube3 for the real-time estimation of human limb segments. The IMU used in first part of this paper concentrates on capturing human upper limb motion, namely the wrist rotational angle and elbow joint angle. The quaternion-based Extended Kalman Filter (EKF) was implemented for the sensor fusion of the hybrid system to retrieve the performance of the human lower limb. The hybrid system uses at the second part includes IMU calculated position reading and OpticTrack position data. The both parts of this paper are essential in helping the stroke rehabilitation in a modernize manner.