A body sensor network for tracking and monitoring of functional arm motion

Authors:
Kim Doang Nguyen;I-Ming Chen;Zhiqiang Luo;Song Huat Yeo;Henry Been-Lirn Duh
Affiliations:
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore;School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore;School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore;School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore;Interactive and Digital Media Institute, National University of Singapore, Singapore
Venue:
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Year:
2009

Citing 3
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Abstract

In this paper, we present a novel sensing technique, Optical Linear Encoder (OLE), in which the motion of an optical encoder on a reflective strip is converted to limb joints' goniometric data. A body sensing module is designed to integrate the OLE and an accelerometer. A sensor network of three sensing modules is established via Controller Areas Network (CAN) bus to capture full motion of human arm with a 7-DOF kinematic model. In addition, a statistical study was conducted to confirm the repeatability and reliability of our sensor network. Results demonstrate that the sensor system has strong potential to be used as a low-cost tool for motion capture, and objective arm function evaluation for both short-term and long-term monitoring.