Start Date
11-8-2016
Description
The issue of learning performance assessed by objective mathematic equation for the virtual reality of motion training is worth exploring, especially on the device of full-body control. We build a virtual reality system with full-body motion sensing control that offers an objective assessment method for the training of body movement. This proposed virtual reality system uses an intuitive interaction method through the motion of the trainer visualized in real time, and provides users with viewing the motion from the third-person viewpoint to follow the teacher as close as possible. The matching assessment method is based on dynamic time warping algorithm for two time series. In order to understand the effectiveness of objective assessment in interacting virtual environment with full-body control, we make a comparison with the subjective assessment by six viewers. Experimental results show that the dynamic time warping algorithm is promising and the same as the subjective assessment.
Recommended Citation
Sun, Huey-Min, "The Assessment of Learning Performance Using Dynamic Time Warping Algorithm for the Virtual Reality of Full-Body Motion Sensing Control" (2016). AMCIS 2016 Proceedings. 2.
https://aisel.aisnet.org/amcis2016/HCI/Presentations/2
The Assessment of Learning Performance Using Dynamic Time Warping Algorithm for the Virtual Reality of Full-Body Motion Sensing Control
The issue of learning performance assessed by objective mathematic equation for the virtual reality of motion training is worth exploring, especially on the device of full-body control. We build a virtual reality system with full-body motion sensing control that offers an objective assessment method for the training of body movement. This proposed virtual reality system uses an intuitive interaction method through the motion of the trainer visualized in real time, and provides users with viewing the motion from the third-person viewpoint to follow the teacher as close as possible. The matching assessment method is based on dynamic time warping algorithm for two time series. In order to understand the effectiveness of objective assessment in interacting virtual environment with full-body control, we make a comparison with the subjective assessment by six viewers. Experimental results show that the dynamic time warping algorithm is promising and the same as the subjective assessment.