• DocumentCode
    1456503
  • Title

    Unrestrained Measurement of Arm Motion Based on a Wearable Wireless Sensor Network

  • Author

    Lee, Guo Xiong ; Low, Kay Soon ; Taher, Tawfiq

  • Author_Institution
    Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    59
  • Issue
    5
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    1309
  • Lastpage
    1317
  • Abstract
    Techniques that could precisely monitor human motion are useful in applications such as rehabilitation, virtual reality, sports science, and surveillance. Most of the existing systems require wiring that restrains the natural movement. To overcome this limitation, a wearable wireless sensor network using accelerometers has been developed in this paper to determine the arm motion in the sagittal plane. The system provides unrestrained movements and improves its usability. The lightweight and compact size of the developed sensor node makes its attachment to the limb easy. Experimental results have shown that the system has good accuracy and response rate when compared with a goniometer.
  • Keywords
    accelerometers; body sensor networks; gait analysis; goniometers; patient monitoring; patient rehabilitation; accelerometer; goniometer; human motion monitoring; rehabilitation; sports science; surveillance; unrestrained arm motion measurement; virtual reality; wearable wireless sensor network; Human body motion; rehabilitation; wearable sensor; wireless sensor network;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2010.2043974
  • Filename
    5439807