Dissertation/Thesis Abstract

Affordable motion analysis instrumentation for wheelchair users
by Nguyen, Khang, M.S., California State University, Long Beach, 2016, 68; 10102582
Abstract (Summary)

Manual Wheelchair Propulsion (WCP) is associated with injuries of the user’s shoulder and elbow caused by the repetitive loading of the upper extremity musculature. Current research is therefore being conducted to capture and analyze wheelchair users’ movements and muscle exertion in order to minimize their injuries. The analyses usually require a motion capture analysis system such as VICON and an instrumented wheel such as SmartWheel to measure the force. Although this setup provides highly accurate results, it is very expensive and time-consuming. Furthermore, the SmartWheel system requires the user to modify his/her existing wheelchair and may not be compatible with some existing wheelchairs. This was our motivation for developing an integrated motion capture and force measurement system that is affordable, compatible with any manual wheelchair, and does not require a time-consuming setup. Our proposed system comprises of a gyroscope, force sensors, Arduino microcontroller, Microsoft Kinect, and Bluetooth protocol for data transmission. It is designed to monitor the user’s arm movements, the reaction force at the hand rim interface, and the wheelchair speed. The system also includes a graphical interface to display the motion capture in real time. To validate the results, the elbow angle measured by the system is verified with the OpenSim software. The results are found to be in close agreement, with a measured RMS error of 6.8 degrees compared to the baseline error of 6.7 degrees from OpenSim. The torque measured by the system has not been verified in this study yet. The ultimate goal is to incorporate this system in a stationary wheelchair training platform with virtual reality to train wheelchair users.

Indexing (document details)
Advisor: Khoo, I-Hung
Commitee: Marayong, Panadda, Wang, Ray
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 55/04M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Electrical engineering, Biomechanics
Keywords: Affordable, Instrumentation, Motion, Users, Wheelchair
Publication Number: 10102582
ISBN: 9781339662640
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