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A wearable sensing system for tracking and monitoring of functional arm movement


Nguyen, KD and Chen, I-M and Luo, Z and Yeo, SH and Duh, B, A wearable sensing system for tracking and monitoring of functional arm movement, Mechatronics, IEEE/ASME Transactions on, 16, (2) pp. 213 - 220. ISSN 1083-4435 (2011) [Refereed Article]

Copyright Statement

Copyright 2010 IEEE

DOI: doi:10.1109/TMECH.2009.2039222


This paper presents a new sensing system for homebased rehabilitation based on optical linear encoder (OLE), in which the motion of an optical encoder on a code strip is converted to the limb joints’ goniometric data. A body sensing module was designed, integrating the OLE and an accelerometer. A sensor network of three sensing modules was established via controller area network bus to capture human arm motion. Experiments were carried out to compare the performance of the OLE module with that of commercial motion capture systems such as electrogoniometers and fiber-optic sensors. The results show that the inexpensive and simple-design OLE’s performance is comparable to that of expensive systems. Moreover, a statistical study was conducted to confirm the repeatability and reliability of the sensing system. The OLE-based system has strong potential as an inexpensive tool for motion capture and arm-function evaluation for short-term as well as long-term home-based monitoring.

Item Details

Item Type:Refereed Article
Keywords:Motion capture and analysis, wearable sensors
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, B (Professor Henry Duh)
ID Code:89960
Year Published:2011
Web of Science® Times Cited:62
Deposited By:Information and Communication Technology
Deposited On:2014-03-20
Last Modified:2017-01-10
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