Statistical Analysis of Novel and Traditional Orientation Estimates from an IMU-Instrumented Glove
Conference
O-larnnithipong, N, Ratchatanantakit, N, Tangnimitchok, S et al. (2019). Statistical Analysis of Novel and Traditional Orientation Estimates from an IMU-Instrumented Glove
. EURO-PAR 2011 PARALLEL PROCESSING, PT 1, 11573 LNCS 282-299. 10.1007/978-3-030-23563-5_23
O-larnnithipong, N, Ratchatanantakit, N, Tangnimitchok, S et al. (2019). Statistical Analysis of Novel and Traditional Orientation Estimates from an IMU-Instrumented Glove
. EURO-PAR 2011 PARALLEL PROCESSING, PT 1, 11573 LNCS 282-299. 10.1007/978-3-030-23563-5_23
This paper outlines the statistical evaluation of novel and traditional orientation estimates from an IMU-instrumented glove. Thirty human subjects participated in the experiment by performing the instructed hand movements in order to compare the performance of the proposed orientation correction algorithm with Kalman-based orientation filtering. The result of two-way multivariate analysis of variance indicates that there is no statistically significant difference in the means of the orientation errors: Phi, Theta and Psi between the orientation correction algorithm using the gravity and magnetic North vectors (GMV) and the correction using Kalman-based orientation filtering (KF). The different hand poses have a statistically significant effect on the orientation errors: Phi, Theta and Psi. The effect of the two algorithms on the orientation errors is consistent across the different hand poses.
