• DocumentCode
    478276
  • Title

    Self-Defined Gesture Recognition on Keyless Handheld Devices using MEMS 3D Accelerometer

  • Author

    Zhang, Shiqi ; Yuan, Chun ; Zhang, Yan

  • Author_Institution
    Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen
  • Volume
    4
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    237
  • Lastpage
    241
  • Abstract
    A novel gesture recognition method is introduced in this paper, and it is designed for keyless handheld devices specially. This terminal contains a three dimensional MEMS accelerometer and a Single Chip Microcontroller, which enable kinds of gesture recognitions, such as inclination, swaying and handwritten Arabic numerals. In this way, we could operate a handheld device without any key just by gesture recognition. It is noted that the same track of a numeral may come from different strokes, for example, Arabic numeral "0" could be written clockwise or anti-clockwise, so self-defined gesture recognition is adopted in Arabic numeral recognition, by which every user could "write" in their own way. Using keyless handheld devices, young guys could get more fun and old people or blind persons could get more convenience. A large number of experiments have been done to verify its reliability and the correct rates (C.R.) prove this terminal could satisfy users\´ basic requirements.
  • Keywords
    accelerometers; gesture recognition; microsensors; notebook computers; MEMS 3D accelerometer; correct rates; handwritten Arabic numerals; inclination; keyless handheld devices; self-defined gesture recognition; single chip microcontroller; swaying; Accelerometers; Cameras; Clocks; Handheld computers; Handwriting recognition; Man machine systems; Microcontrollers; Micromechanical devices; Personal digital assistants; Space technology; Accelerometer; Arabic Numeral Recognition; Human-Machine Interface; Keyless Handheld Devices; MEMS; Self-Defined Gesture Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.387
  • Filename
    4667282