• DocumentCode
    184503
  • Title

    Development of a wireless multi-functional body sensing platform for smart garment integration

  • Author

    Spulber, I. ; Papi, E. ; Chen, Y.-M. ; Anastasova-Ivanova, S. ; Bergmann, J. ; Georgiou, P. ; McGregor, A.H.

  • Author_Institution
    Inst. of Biomed. Eng., Centre for Bio-Inspired Technol., Imperial Coll. London, London, UK
  • fYear
    2014
  • fDate
    22-24 Oct. 2014
  • Firstpage
    157
  • Lastpage
    160
  • Abstract
    This paper details the development of a multi-sensor platform designed to support functional monitoring and knee rehabilitation via its integration into a smart garment. The system incorporates flexible conductive polymer sensors, interfaced to a customized body sensor node with embedded accelerometer and gyroscope sensors. The body node was specifically developed for unobtrusive sensor data acquisition and the wireless transmission of data via a Bluetooth link. To demonstrate the system, a proof of concept investigation was conducted to assess its potential for functional monitoring in the context of daily activity discrimination. Preliminary results show that walking, running, stairs climbing and descending activities can be easily discriminated based on the data collected with the developed sensing platform. Moreover, simple clustering and discrimination of tThis paper details the development of a multi-sensor platform designed to support functional monitoring and knee rehabilitation via its integration into a smart garment. The system incorporates flexible conductive polymer sensors, interfaced to a customized body sensor node with embedded accelerometer and gyroscope sensors. The body node was specifically developed for unobtrusive sensor data acquisition and the wireless transmission of data via a Bluetooth link. To demonstrate the system, a proof of concept investigation was conducted to assess its potential for functional monitoring in the context of daily activity discrimination. Preliminary results show that walking, running, stairs climbing and descending activities can be easily discriminated based on the data collected with the developed sensing platform. Moreover, simple clustering and discrimination of the tested activities is shown to be feasible based on a single time domain signal power feature.he tested activities is shown to be feasible based on a single time domain signal power feature.
  • Keywords
    Bluetooth; accelerometers; biological techniques; body sensor networks; gyroscopes; intelligent sensors; Bluetooth link; descending activities; embedded accelerometer; flexible conductive polymer sensor; functional monitoring; gyroscope sensors; knee rehabilitation; running; sensor data acquisition; smart garment integration; stairs climbing; walking; wireless multifunctional body sensing platform; wireless transmission; Clothing; Flexible printed circuits; Gyroscopes; Knee; Monitoring; Wireless communication; Wireless sensor networks; RMS2; activity discrimination; body sensing node; flexible sensors; smart garment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/BioCAS.2014.6981669
  • Filename
    6981669