Dance, Dance Evolution: Accelerometer Sensor Networks as Input to Video Games

We have created and tested a wearable sensor network that detects a user's body position as input for video game applications. It is envisioned to take video game experiences such as Dance Dance Revolution to a whole new level, replacing the binary foot-pad with a more immersive, full-body input system. We describe the design and functionality of the sensor network and experiment with Mahalanobis distance as a nearest-neighbour means of classification. Results from our experiments with distance threshold levels, combined data sets and the effects of practice on user success rates are discussed.