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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 |
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Keywords: | Wearable sensors, human motion capture and analysis, sensor network |
Research Division: | Information and Computing Sciences |
Research Group: | Library and information studies |
Research Field: | Human information interaction and retrieval |
Objective Division: | Information and Communication Services |
Objective Group: | Information systems, technologies and services |
Objective Field: | Information systems, technologies and services not elsewhere classified |
UTAS 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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