DocumentCode
2737019
Title
Ergonomic Low Cost Motion Capture for every day health exercise
Author
Majoe, Dennis ; Estermann, Michel ; Ranieri, Nicola ; Gutknecht, Juirg
Author_Institution
Comput. Syst. Inst., ETH Zurich, Zurich
Volume
2
fYear
2008
fDate
6-8 Oct. 2008
Firstpage
627
Lastpage
632
Abstract
Pervasive applications often require context information about the posture, ambulatory and work activity of the user. This paper reports ongoing work on the development of a low cost ergonomic approach to motion capture that provides the opportunity to examine diverse body movement in home and office environments. In this research case it is applied to the automatic training of Tai Ji Quan at different levels of complexity. Results of the sensor design, communications architecture and human body computer motion modeling are presented.
Keywords
computer vision; ergonomics; health care; image motion analysis; ubiquitous computing; wearable computers; Tai Ji Quan training; context information; ergonomic low cost motion capture; health exercise; human body computer motion modeling; pervasive applications; wearable devices; Application software; Batteries; Costs; Ergonomics; Intelligent sensors; Sensor fusion; Sensor systems; Wearable computers; Wearable sensors; Wireless sensor networks; Wearable computing; body area networks; motion capture; wireless sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
Conference_Location
Alexandria
Print_ISBN
978-1-4244-2020-9
Electronic_ISBN
978-1-4244-2021-6
Type
conf
DOI
10.1109/ICPCA.2008.4783687
Filename
4783687
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