An Implementation of Exercise and Performance Learning Assistant System Platform Using Node.js
2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
; : 193-194, 2022.
Article
in English
| Scopus | ID: covidwho-2051983
ABSTRACT
To assist practicing exercises or learning performances by themselves at home under pandemic of COVID-19, we have studied the Exercise and Performance Learning Assistant System (EPLAS) and implemented the user interface using a web browser for practicing Yoga poses. EPLAS offers a video content of model actions by an instructor to be followed by the user, and automatically takes the photos of the critical poses. Then, it rates each critical pose by differences of body key points extracted by OpenPose between the user photo and the instructor one. In this paper, we implement the EPLAS platform using Node.js as the web application server to run the rating function automatically on the server when it is requested on the browser. For evaluations, we asked 10 students in Okayama University to practice 10 Yoga poses using the interface, and confirmed its correctness. © 2022 IEEE.
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Scopus
Language:
English
Journal:
2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Year:
2022
Document Type:
Article
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