A Proposal of Exercise and Performance Learning Assistant System for Self-Practice at Home

Autor: Achmad Basuki, Chih-Peng Fan, Yu Chung Hsu, Xiqin Lu, Cheng Hsien Lin, Irin Tri Anggraini, Nobuo Funabiki
Rok vydání: 2020
Předmět:
Zdroj: Advances in Science, Technology and Engineering Systems Journal. 5:1196-1203
ISSN: 2415-6698
DOI: 10.25046/aj0505145
Popis: Due to pandemic spreads of COVID-19 and increasing populations of seniors, exercises or performance practices at home have become important to maintain healthy lives around the world World Health Organization (WHO) has announced the physical health determines the Quality of Life (QoL) of a human Unfortunately, a lot of people have no exercise and may be in unhealthy conditions In this paper, we propose an Exercise and Performance Learning Assistant System (EPLAS) to assist people practicing exercises or learning performances by themselves at home EPLAS adopts inexpensive devices and free software for low-cost implementation It offers a video content of model actions by an instructor to be followed by the user, where the reaction is rated by comparing the feature points of the human bodies extracted by an open-source software OpenPose For evaluations, we conduct experiments of applying EPLAS with five Yoga poses to 41 persons in Indonesia, Japan, and Taiwan, and confirm the effectiveness of the proposal © 2020 ASTES Publishers All rights reserved
Databáze: OpenAIRE
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