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|Title:||A body sensor network for tracking and monitoring of functional arm motion|
|Keywords:||Human motion capture and analysis|
|Citation:||Nguyen, K.D., Chen, I.-M., Luo, Z., Yeo, S.H., Duh, H.B.-L. (2009-12-11). A body sensor network for tracking and monitoring of functional arm motion. 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009 : 3862-3867. ScholarBank@NUS Repository. https://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. © 2009 IEEE.|
|Source Title:||2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009|
|Appears in Collections:||Staff Publications|
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