• 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