Capturing basic movements for mobile platforms embedded with motion sensors.
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, we 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. We 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.
Dept. of Electrical and Computer Engineering, University of North Carolina at Charlotte (UNC Charlotte), Charlotte, NC 28223, USA. aravindk at ieee.org
Aravind
A
Kailas
D000465:Algorithms; D015374:Biosensing Techniques / Q000295:instrumentation*; D006801:Humans; D009038:Motion; D009068:Movement / Q000502:physiology