• DocumentCode
    3236546
  • Title

    Gesture recognition model based on 3D accelerations

  • Author

    Jun-qi Kong ; Hui Wang ; Guang-Quan Zhang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    66
  • Lastpage
    70
  • Abstract
    This paper presents a recognition model on gesture interaction, gesture recognition based on accelerations, which are collected by 3D accelerometer. Unlike most other vision-based gesture recognition, our method resorting to accelerations of the gesture in three directions. Gesture is divided into small units, and each unit is modeled by an HMM, the HMM classifies the gesture unit after being well trained, the gesture identified when all of the corresponding gesture units recognized successfully, then the instruction will be triggered, and the human-computer interaction achieved. Through experiments, the method proved to be effective. This recognition model can be wildly used in the field of mobile computing and remote control, and people could use computer more friendly and naturally.
  • Keywords
    gesture recognition; hidden Markov models; human computer interaction; 3D accelerations; 3D accelerometer; HMM classifies; hidden Markov model; human-computer interaction; mobile computing; remote control; vision-based gesture recognition model; Acceleration; Accelerometers; Computer science; Computer science education; Educational technology; Hidden Markov models; Humans; Mobile computing; Paper technology; User interfaces; acceleration; gesture recognition; recognition model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228524
  • Filename
    5228524