: This project investigates the application of a fully wireless network of inertial sensors for full-body, 3-D motion capture, for the real-time analysis of Tango dancing. Towards this end, this project builds on the Orient Motion Capture Interface, a platform used to capture, record and visualise motion in real time. In order to comply with the project requirements, this interface was extended to support extraction of positional information in real time, using a ceiling-mounted camera vision system, alongside a sensor-based step tracking algorithm. Permutations of advanced, intermediate and beginner Tango dancer pairs were invited to trial the system, and the resulting data was analysed against a set of evaluation criteria. The results of the analysis led to the identification of salient patterns in the motion of Tango dancers, which were shown to be related to the experience level of the participating performers.
D. K. Arvind, Aris Valtazanos