TY - GEN
T1 - Implementation and Evaluation of Exercise and Performance Learning Assistant System Platform for Yoga Pose Practices Using Node.js
AU - Tri Anggraini, Irin
AU - Funabiki, Nobuo
AU - Puspitaningayu, Pradini
AU - Shen, Shih Wei
AU - Huang, Wan Chia
AU - Fan, Chih Peng
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - To support people enjoying exercises or learning performances at home such as Yoga poses or traditional dances, we have developed Exercise and Performance Learning Assistant System (EPLAS). In EPLAS, the user can practice it by following the model performance of the instructor in the video. Then, the key poses of the user will be rated as the feedback by comparing the keypoints between the instructor and the user that are extracted by OpenPose. We have provided the platform using the web browser. However, OpenPose needs to run on OS directly. We developed the EPLAS platform in this paper using Node.js as the web application server. When a user requests it via the browser, the rating function is immediately executed on the server. Furthermore, we employ use Docker to simply distribute the platform. We invited 10 Okayama University students to do various Yoga positions using the EPLAS for assessments, and the results verified the success of the deployment.
AB - To support people enjoying exercises or learning performances at home such as Yoga poses or traditional dances, we have developed Exercise and Performance Learning Assistant System (EPLAS). In EPLAS, the user can practice it by following the model performance of the instructor in the video. Then, the key poses of the user will be rated as the feedback by comparing the keypoints between the instructor and the user that are extracted by OpenPose. We have provided the platform using the web browser. However, OpenPose needs to run on OS directly. We developed the EPLAS platform in this paper using Node.js as the web application server. When a user requests it via the browser, the rating function is immediately executed on the server. Furthermore, we employ use Docker to simply distribute the platform. We invited 10 Okayama University students to do various Yoga positions using the EPLAS for assessments, and the results verified the success of the deployment.
KW - COVID-19
KW - EPLAS
KW - OpenPose
KW - Python
KW - QoL
KW - Yoga pose
UR - http://www.scopus.com/inward/record.url?scp=85142426733&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85142426733&partnerID=8YFLogxK
U2 - 10.1109/ICVEE57061.2022.9930470
DO - 10.1109/ICVEE57061.2022.9930470
M3 - Conference contribution
AN - SCOPUS:85142426733
T3 - 2022 5th International Conference on Vocational Education and Electrical Engineering: The Future of Electrical Engineering, Informatics, and Educational Technology Through the Freedom of Study in the Post-Pandemic Era, ICVEE 2022 - Proceeding
SP - 100
EP - 105
BT - 2022 5th International Conference on Vocational Education and Electrical Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Vocational Education and Electrical Engineering, ICVEE 2022
Y2 - 10 September 2022 through 11 September 2022
ER -