Evaluation of Orientation Correction Algorithms in Real-Time Hand Motion Tracking for Computer Interaction
Conference
O-larnnithipong, N, Ratchatanantakit, N, Barreto, A et al. (2019). Evaluation of Orientation Correction Algorithms in Real-Time Hand Motion Tracking for Computer Interaction
. EURO-PAR 2011 PARALLEL PROCESSING, PT 1, 11567 LNCS 348-365. 10.1007/978-3-030-22643-5_27
O-larnnithipong, N, Ratchatanantakit, N, Barreto, A et al. (2019). Evaluation of Orientation Correction Algorithms in Real-Time Hand Motion Tracking for Computer Interaction
. EURO-PAR 2011 PARALLEL PROCESSING, PT 1, 11567 LNCS 348-365. 10.1007/978-3-030-22643-5_27
This paper outlines the evaluation of orientation correction algorithms implemented in a hand motion tracking system that utilizes an inertial measurement unit (IMU) and infrared cameras. Thirty human subjects participated in an experiment to validate the performance of the hand motion tracking system. The statistical analysis shows that the error of position tracking is, on average, 1.7 cm in the x-axis, 1.0 cm in the y-axis, and 3.5 cm in the z-axis. The Kruskal-Wallis tests show that the orientation correction algorithm using gravity vector and magnetic North vector can significantly reduce the errors in orientation tracking in comparison to fixed offset compensation. Statistical analyses show that the orientation correction algorithm using gravity vector and magnetic North vector and the on-board Kalman-based orientation filtering produced orientation errors that were not significantly different in the Euler angles, Phi, Theta and Psi, with the p-values of 0.632, 0.262 and 0.728, respectively.
