An Implementation of Exercise and Performance Learning Assistant System Platform Using Node.js

Irin Tri Anggraini; Pradini Puspitaningayu; Nobuo Funabiki; Shih Wei Shen; Wan Chia Huang; Chih Peng Fan

doi:10.1109/ICCE-Taiwan55306.2022.9869003

An Implementation of Exercise and Performance Learning Assistant System Platform Using Node.js

Irin Tri Anggraini, Pradini Puspitaningayu, Nobuo Funabiki, Shih Wei Shen, Wan Chia Huang, Chih Peng Fan

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	193-194
Number of pages	2
ISBN (Electronic)	9781665470506
DOIs	https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869003
Publication status	Published - 2022
Event	2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, Taiwan, Province of China Duration: Jul 6 2022 → Jul 8 2022

Publication series

Name	Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Conference

Conference	2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Country/Territory	Taiwan, Province of China
City	Taipei
Period	7/6/22 → 7/8/22

Keywords

COVID-19
EPLAS
Node.js
OpenPose
Python
Quality of Life
Yoga

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Hardware and Architecture
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Media Technology
Health Informatics
Instrumentation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICCE-Taiwan55306.2022.9869003

Cite this

Anggraini, I. T., Puspitaningayu, P., Funabiki, N., Shen, S. W., Huang, W. C., & Fan, C. P. (2022). An Implementation of Exercise and Performance Learning Assistant System Platform Using Node.js. In Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 (pp. 193-194). (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869003

An Implementation of Exercise and Performance Learning Assistant System Platform Using Node.js. / Anggraini, Irin Tri; Puspitaningayu, Pradini; Funabiki, Nobuo et al.
Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 193-194 (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Anggraini, IT, Puspitaningayu, P, Funabiki, N, Shen, SW, Huang, WC & Fan, CP 2022, An Implementation of Exercise and Performance Learning Assistant System Platform Using Node.js. in Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022, Institute of Electrical and Electronics Engineers Inc., pp. 193-194, 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022, Taipei, Taiwan, Province of China, 7/6/22. https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869003

Anggraini IT, Puspitaningayu P, Funabiki N, Shen SW, Huang WC, Fan CP. An Implementation of Exercise and Performance Learning Assistant System Platform Using Node.js. In Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 193-194. (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022). doi: 10.1109/ICCE-Taiwan55306.2022.9869003

Anggraini, Irin Tri ; Puspitaningayu, Pradini ; Funabiki, Nobuo et al. / An Implementation of Exercise and Performance Learning Assistant System Platform Using Node.js. Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 193-194 (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022).

@inproceedings{a5bb88b4ac1842a49269e351b2c7e0a1,

title = "An Implementation of Exercise and Performance Learning Assistant System Platform Using Node.js",

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.",

keywords = "COVID-19, EPLAS, Node.js, OpenPose, Python, Quality of Life, Yoga",

author = "Anggraini, {Irin Tri} and Pradini Puspitaningayu and Nobuo Funabiki and Shen, {Shih Wei} and Huang, {Wan Chia} and Fan, {Chih Peng}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 ; Conference date: 06-07-2022 Through 08-07-2022",

year = "2022",

doi = "10.1109/ICCE-Taiwan55306.2022.9869003",

language = "English",

series = "Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "193--194",

booktitle = "Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022",

}

TY - GEN

T1 - An Implementation of Exercise and Performance Learning Assistant System Platform Using Node.js

AU - Anggraini, Irin Tri

AU - Puspitaningayu, Pradini

AU - Funabiki, Nobuo

AU - Shen, Shih Wei

AU - Huang, Wan Chia

AU - Fan, Chih Peng

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - COVID-19

KW - EPLAS

KW - Node.js

KW - OpenPose

KW - Python

KW - Quality of Life

KW - Yoga

UR - http://www.scopus.com/inward/record.url?scp=85138754961&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85138754961&partnerID=8YFLogxK

U2 - 10.1109/ICCE-Taiwan55306.2022.9869003

DO - 10.1109/ICCE-Taiwan55306.2022.9869003

M3 - Conference contribution

AN - SCOPUS:85138754961

T3 - Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

SP - 193

EP - 194

BT - Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Y2 - 6 July 2022 through 8 July 2022

ER -

An Implementation of Exercise and Performance Learning Assistant System Platform Using Node.js

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this