Motion capturing of biomechanical systems in traditional dance using IMU sensors

This paper highlights a scientific approach to capture and analyze biomechanical data of authentic traditional dance motions with the aim to digitally preserve their inherent rhythmic dying features for future training and coaching purposes. IMU based sensor setup designed to capture threedimensional movement patterns of field experts in the original environment is employed to capture motion data. The captured velocity data will be used to investigate the key hidden features of the dance motions. Results will be used to identify and preserve these vital features for future generations. Methodology shows the effectiveness of the proposed setup in identifying the key parameters to be addressed. To illustrate, data from a professional UAE traditional 'Ayala' dancer is taken and analyzed.