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 Type:	Refereed Conference Paper
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
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