Capturing Basic Movements for Mobile Gaming Platforms Embedded with Motion Sensors

Aravind Kailas and Chia-Chin Chong
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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

International Journal of E-Health and Medical Communications (IJEHMC), 2012, vol. 3, issue 4, 1-14

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.

Date: 2012
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