Capturing Basic Movements for Mobile Gaming Platforms Embedded with Motion Sensors

Authors:
Aravind Kailas;Chia-Chin Chong
Affiliations:
Department of Electrical and Computer Engineering, University of North Carolina at Charlotte, Charlotte, NC, USA;Technology Strategy and Planning, Huawei Device USA, Santa Clara, CA, USA
Venue:
International Journal of E-Health and Medical Communications
Year:
2012

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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.