This thesis presents a multi-modal motion tracking system for stroke patient rehabilitation. This system deploys two sensor modules: marker-based motion capture system and inertial measurement unit (IMU). The integrated system provides real-time measurement of the right arm and trunk movement, even in the presence of marker occlusion. The information from the two sensors is fused through quaternion-based recursive filters to promise robust detection of torso compensation (undesired body motion).
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- Partial requirement for: M.S., Arizona State University, 2010Note typethesis
- Includes bibliographical references (p. 65-67)Note typebibliography
- Field of study: Electrical engineering