• DocumentCode
    1579295
  • Title

    A wireless networked smart-shoe system for monitoring human locomotion

  • Author

    Donkrajang, W. ; Watthanawisuth, N. ; Mensing, J.P. ; Kerdcharoen, T.

  • Author_Institution
    Mater. Sci. & Eng. Programme, Mahidol Univ., Bangkok, Thailand
  • fYear
    2012
  • Firstpage
    54
  • Lastpage
    58
  • Abstract
    This paper presents the development of a low cost wireless data shoe system for monitoring human locomotion. The sensor unit consists of 3 force sensing resistors (denoted by FSR located at ball, lateral border and heel) and 3-axis acceleration sensor (ADXL335). Pressure and acceleration data were sampled at 10 Hz, which is sufficient for various activities such as sitting, standing, walking and possibly for running. The data from these sensors were sent to a base station (via ZigBee wireless network) connected to a personal computer. Experimental results show a clear discrimination of patterns between static and dynamic postures. In addition, we can detect some gait phase from walking sample data which can be used for analysis of healthy gait behavior.
  • Keywords
    body sensor networks; footwear; gait analysis; graphical user interfaces; intelligent sensors; medical computing; patient monitoring; 3-axis acceleration sensor; ADXL335; Zigbee wireless network; dynamic postures; force sensing resistors; frequency 10 Hz; graphic user interface; healthy gait analysis; human locomotion monitoring; running; sitting; standing; static postures; walking; wireless networked smart-shoe system; Acceleration; Footwear; Force; Legged locomotion; Microcontrollers; Wireless sensor networks; Zigbee; gait analysis; gait phase detection; locomotion; pressure sensor; smart-shoes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering International Conference (BMEiCON), 2011
  • Conference_Location
    Chiang Mai
  • Print_ISBN
    978-1-4577-2189-2
  • Type

    conf

  • DOI
    10.1109/BMEiCon.2012.6172017
  • Filename
    6172017