• DocumentCode
    2159823
  • Title

    HandButton: Gesture recognition of transceiver-free object by using wireless networks

  • Author

    Zheng, Weiling ; Zhang, Dian

  • Author_Institution
    College of Computer Science and Software, Shenzhen University, China
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    6640
  • Lastpage
    6645
  • Abstract
    Traditional radio-based gesture recognition approaches usually require the target to carry a device (e.g., an EMG sensor or an accelerometer sensor). However, such requirement cannot be satisfied in many applications. For example, in smart home, users want to control the light on/off by hand gesture, without carrying any device. To overcome this draw-back, in this paper, we propose two algorithms able to recognize the target gesture (mainly the human hand gesture) without carrying any device, based on just Radio Signal Strength Indicator (RSSI). Our platform utilizes only 6 telosB sensor nodes and is with a very easy deployment. Experiment results show that the successful recognition radio can reach around 80% in our system.
  • Keywords
    Accuracy; Ad hoc networks; Gesture recognition; Heuristic algorithms; Target recognition; Wireless communication; Wireless sensor networks; RSSI; gesture recognition; transceiver-free; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7249383
  • Filename
    7249383