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Capturing Basic Movements for Mobile Gaming Platforms Embedded with Motion Sensors

Author

Listed:
  • Aravind Kailas

    (Department of Electrical and Computer Engineering, University of North Carolina at Charlotte, Charlotte, NC, USA)

  • Chia-Chin Chong

    (Technology Strategy and Planning, Huawei Device USA, Santa Clara, CA, USA)

Abstract

A novel experimental setup using accelerometer and gyroscope sensors embedded on a single board along with a distance-based pattern recognition algorithm is presented for accurately identifying basic movements for possible application in gaming using a mobile platform. As an example, the authors considered some basic step sequences in the popular dance game (e.g., dance dance revolution), and could detect these movements with a reasonably high probability. They envision that the experimental results presented in this paper will motivate future research in the world of mobile gaming applications using advanced smart phones with a dual module design.

Suggested Citation

  • Aravind Kailas & Chia-Chin Chong, 2012. "Capturing Basic Movements for Mobile Gaming Platforms Embedded with Motion Sensors," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 3(4), pages 1-14, October.
    • Handle: RePEc:igg:jehmc0:v:3:y:2012:i:4:p:1-14
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