• DocumentCode
    587065
  • Title

    Non-contact hand motion classification technique for application to human machine interfaces

  • Author

    Kurita, Kanae

  • Author_Institution
    Dept. of Electron. Eng. & Comput. Sci., Kinki Univ., Higashi-Hiroshima, Japan
  • fYear
    2012
  • fDate
    21-24 Oct. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we present an effective non-contact technique for the measurement of human hand motion with wireless portable motion detection sensors; this technique allows the detection of the subject´s hand movements. This method involves the measurement of the current generated due to the difference in the capacitance between the subject´s hand and the measurement electrodes in the motion detection sensor. The two motion detection sensors are capable of detecting the direction of the subject´s hand movement by measurement the time difference of the peak of the electrostatic induction current. This technique allows us to recognize the direction of the hand movement with respect to the motion detection sensors under perfect non-contact conditions.
  • Keywords
    electric current measurement; human computer interaction; image motion analysis; image sensors; man-machine systems; motion measurement; palmprint recognition; user interfaces; current measurement; electrostatic induction current; hand movement detection; human hand motion measurement; human machine interfaces; measurement electrodes; noncontact hand motion classification technique; wireless portable motion detection sensors; Current measurement; Electrodes; Electrostatic induction; Electrostatic measurements; Motion detection; Motion measurement; Sensors; Electrostatic induction; Hand motion; Motion measurement; Non-contact measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2012 15th International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4673-2327-7
  • Type

    conf

  • Filename
    6401835