@article{ART002826207},
author={Kim Dong Keun and Cho， Yongjoo and Kyoung Shin Park},
title={Development and Evaluation of the V-Catch Vision System},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={3},
pages={45-52},
doi={10.9708/jksci.2022.27.03.045}
TY - JOUR
AU - Kim Dong Keun
AU - Cho， Yongjoo
AU - Kyoung Shin Park
TI - Development and Evaluation of the V-Catch Vision System
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 3
PB - The Korean Society Of Computer And Information
SP - 45
EP - 52
SN - 1598-849X
AB - A tangible sports game is an exercise game that uses sensors or cameras to track the user's body movements and to feel a sense of reality. Recently, VR indoor sports room systems installed to utilize tangible sports game for physical activity in schools. However, these systems primarily use screen-touch user interaction. In this research, we developed a V-Catch Vision system that uses AI image recognition technology to enable tracking of user movements in three-dimensional space rather than two-dimensional wall touch interaction. We also conducted a usability evaluation experiment to investigate the exercise effects of this system. We tried to evaluate quantitative exercise effects by measuring blood oxygen saturation level, the real-time ECG heart rate variability, and user body movement and angle change of Kinect skeleton. The experiment result showed that there was a statistically significant increase in heart rate and an increase in the amount of body movement when using the V-Catch Vision system. In the subjective evaluation, most subjects found the exercise using this system fun and satisfactory.
KW - Tangible Sports Game;AI Image Recognition;Motion Tracking;Usability Study
DO - 10.9708/jksci.2022.27.03.045
ER -
Kim Dong Keun, Cho， Yongjoo and Kyoung Shin Park. (2022). Development and Evaluation of the V-Catch Vision System. Journal of The Korea Society of Computer and Information, 27(3), 45-52.
Kim Dong Keun, Cho， Yongjoo and Kyoung Shin Park. 2022, "Development and Evaluation of the V-Catch Vision System", Journal of The Korea Society of Computer and Information, vol.27, no.3 pp.45-52. Available from: doi:10.9708/jksci.2022.27.03.045
Kim Dong Keun, Cho， Yongjoo, Kyoung Shin Park "Development and Evaluation of the V-Catch Vision System" Journal of The Korea Society of Computer and Information 27.3 pp.45-52 (2022) : 45.
Kim Dong Keun, Cho， Yongjoo, Kyoung Shin Park. Development and Evaluation of the V-Catch Vision System. 2022; 27(3), 45-52. Available from: doi:10.9708/jksci.2022.27.03.045
Kim Dong Keun, Cho， Yongjoo and Kyoung Shin Park. "Development and Evaluation of the V-Catch Vision System" Journal of The Korea Society of Computer and Information 27, no.3 (2022) : 45-52.doi: 10.9708/jksci.2022.27.03.045
Kim Dong Keun; Cho， Yongjoo; Kyoung Shin Park. Development and Evaluation of the V-Catch Vision System. Journal of The Korea Society of Computer and Information, 27(3), 45-52. doi: 10.9708/jksci.2022.27.03.045
Kim Dong Keun; Cho， Yongjoo; Kyoung Shin Park. Development and Evaluation of the V-Catch Vision System. Journal of The Korea Society of Computer and Information. 2022; 27(3) 45-52. doi: 10.9708/jksci.2022.27.03.045
Kim Dong Keun, Cho， Yongjoo, Kyoung Shin Park. Development and Evaluation of the V-Catch Vision System. 2022; 27(3), 45-52. Available from: doi:10.9708/jksci.2022.27.03.045
Kim Dong Keun, Cho， Yongjoo and Kyoung Shin Park. "Development and Evaluation of the V-Catch Vision System" Journal of The Korea Society of Computer and Information 27, no.3 (2022) : 45-52.doi: 10.9708/jksci.2022.27.03.045
