Body sensor networks for baseball swing training: Coordination analysis of human movements using motion transcripts

Becoming proficient in a sport requires significant investment in training. Wearable sensor devices can improve training due to the high level of mobility, ubiquity and intelligent feedback offered. In this paper, we present a wearable platform that provides baseball players with corrective feedback based on multidimensional physiological data collected from a body sensor network. We attempt to generate motion transcripts, which simplify interpretation of complex movements. We then use transcripts to measure coordination among limb segments and joints of the body. The starting times of key events are found in the transcripts, and the coordination between these times is analyzed.