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

Citation

Nguyen, KD and Chen, I-M and Luo, Z and Yeo, SH and Duh, HBL, A body sensor network for tracking and monitoring of functional arm motion, Proceedings of The 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 11-15 October 2009, St Louis, USA, pp. 3862-3867. ISBN 978-1-4244-3804-4 (2009) [Refereed Conference Paper]

Copyright Statement

Copyright 2009 IEEE

Official URL: http://dx.doi.org/10.1109/IROS.2009.5353912

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.

Item Details

Item Type:Refereed Conference Paper
Keywords:Wearable sensors, human motion capture and analysis, sensor network
Research Division:Information and Computing Sciences
Research Group:Information Systems
Research Field:Computer-Human Interaction
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Application Tools and System Utilities
Author:Duh, HBL (Professor Henry Duh)
ID Code:90327
Year Published:2009
Deposited By:Information and Communication Technology
Deposited On:2014-03-31
Last Modified:2015-03-24
Downloads:0

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