10.21227/9SGB-7X62
Mahir Meghji
Mahir
Meghji
Aaron Balloch
Aaron
Balloch
Daryoush Habibi
Daryoush
Habibi
Iftekhar Ahmad
Iftekhar
Ahmad
Nicolas Hart
Nicolas
Hart
Robert Newton
Robert
Newton
Jason Weber
Jason
Weber
Adnan Waqar
Adnan
Waqar
COD experiments
IEEE DataPort
2018
Sensors
Biophysiological Signals
Wearable Sensing
2018-08-07
Dataset
Creative Commons Attribution
Orientation tracking of a moving object has a widevariety of applications, including but not limited to military,surgical aid, navigation systems, mobile robots, gaming, virtualreality, and gesture recognition. In this article, a novel algorithmis presented to automatically track and quantify change ofdirection (COD) incident angles or heading angles (i.e. turningangles) of a moving athlete using the inertial sensor signals froma microtechnology unit (an inertia measurement unit (IMU))commonly used in elite sport. The algorithm is also capableof automatically classifying a COD incident according to thedegree of the turn and the direction of the turn (left orright). The system involves (a) the accurate determination ofthe heading angle using IMU sensor fusion and (b) the use ofan algorithm to detect and categorize all changes in angle usingvarious signal computation processing techniques. This articlepresents the algorithm to detect changes in angle and subsequentcategorization. The algorithm is intended to accurately quantifychanges in mechanical loading (angle) during COD incidents,which may present a new perspective in the monitoring of athletesfor performance enhancement and injury prevention purposes.