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Multimodal Movement Sensing using Motion Capture and Inertial Sensors for Mixed-Reality Rehabilitation

Abstract 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). Since this algorithm allows flexible sensor configurations, it presents a framework for fusing the IMU data and vision data that can adapt to various sensor selection scenarios. The proposed system consequently has the potential to improve both the ... (more)
Created Date 2010
Contributor Liu, Yangzi (Author) / Qian, Gang (Advisor) / Olson, Loren (Committee member) / Si, Jennie (Committee member) / Arizona State University (Publisher)
Subject Engineering / Inertial Sensor / Movement Sensing / Sensor Fusion
Type Masters Thesis
Extent 85 pages
Language English
Reuse Permissions All Rights Reserved
Note M.S. Electrical Engineering 2010
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis