• DocumentCode
    2251334
  • Title

    Design of a wearable multi-sensor system for physical activity assessment

  • Author

    Liu, Shaopeng ; Gao, Robert X. ; Freedson, Patty

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Connecticut, Storrs, CT, USA
  • fYear
    2010
  • fDate
    6-9 July 2010
  • Firstpage
    254
  • Lastpage
    259
  • Abstract
    In-situ measurement of physical activity of human under free-living environment is important for assessing their exposure to the environment. Innovative sensing technology is needed to realize such measurement. This paper presents a wearable, multi-sensor integrated measurement system (IMS) for assessing physical activity. Detailed analysis and simulation were performed for the parametric design of the IMS hardware and embedded software. An adaptive-scheduling method was devised to improve the battery power efficiency, reducing the energy consumption by over 16 times as compared to the conventional technique, enabling continued system operation of up to 54 hours. Experiments on human subjects have shown that the multi-sensor IMS is more effective in recognizing activities of varying intensity than the traditional activity measurement devices that use accelerometers alone. Error analysis of the IMS accelerometer outputs is also presented.
  • Keywords
    accelerometers; adaptive scheduling; biomechanics; biomedical measurement; error analysis; intelligent sensors; measurement systems; sensor fusion; IMS accelerometer; IMS hardware; adaptive-scheduling method; battery power efficiency; embedded software; energy consumption; error analysis; innovative sensing technology; multisensor integrated measurement system; parametric design; physical activity assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2010 IEEE/ASME International Conference on
  • Conference_Location
    Montreal, ON
  • Print_ISBN
    978-1-4244-8031-9
  • Type

    conf

  • DOI
    10.1109/AIM.2010.5695932
  • Filename
    5695932