A Gesture Recognition Method with a Charge Induction Array of Nine Electrodes.

Journal: Sensors (Basel, Switzerland)
Published Date:

Abstract

In order to develop a non-contact and simple gesture recognition technology, a recognition method with a charge induction array of nine electrodes is proposed. Firstly, the principle of signal acquisition based on charge induction is introduced, and the whole system is given. Secondly, the recognition algorithms, including the pre-processing algorithm and back propagation neural network (BPNN) algorithm, are given to recognize three input modes of hand gestures, digital input, direction input and key input, respectively. Finally, experiments of three input modes of hand gestures are carried out, and the recognition accuracy is 97.2%, 94%, and 100% for digital input, direction input, and key input, respectively. The outstanding characteristic of this method is the real-time recognition of three hand gestures in the distance of 2 cm without the need of wearing any device, as well as being low cost and easy to implement.

Authors

  • Hao Qian
    Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Yangbin Chi
    School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.
  • Zining Dong
    School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.
  • Feng Yan
    Nanjing Univ., China.
  • Limin Zhang
    School of Information, University of Arizona, 1103 E. Second Street, Tucson, AZ 85705, USA.