• DocumentCode
    3677970
  • Title

    BodyRC: Exploring Interaction Modalities Using Human Body as Lossy Signal Transmission Medium

  • Author

    Yuntao Wang;Chun Yu;Lin Du;Jin Huang;Yuanchun Shi

  • Author_Institution
    Dept. of Comput. Sci. &
  • fYear
    2014
  • Firstpage
    260
  • Lastpage
    267
  • Abstract
    With the increasing popularity of wearable computing devices, new sensing techniques that enable always-available interaction are highly demanded. In this paper, we propose Body RC, a novel body-based device using human body as lossy signal transmission medium. This device supports on-body interaction and body gesture recognition. In particular, Body RC recognizes the operations of on-body interaction and body gestures by analyzing the electrical properties when transmitting single high frequency analog signal through human body. We evaluate the capabilities and performance of Body RC through two controlled experiments showing robust classification of both on-body interaction and body gesture recognition. In addition, we design a real-time recognition system demonstrating the utility of our technique.
  • Keywords
    "Delays","Sensors","Gesture recognition","Thumb","Accuracy","Feature extraction"
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence and Computing, 2014 IEEE 11th Intl Conf on and IEEE 11th Intl Conf on and Autonomic and Trusted Computing, and IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UTC-ATC-ScalCom)
  • Type

    conf

  • DOI
    10.1109/UIC-ATC-ScalCom.2014.73
  • Filename
    7306960