A Proposal of Yoga Pose Assessment Method Using Pose Detection for Self-Learning

Maybel Chan Thar, Khine Zar Ne Winn, Nobuo Funabiki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, Yoga is popular around the world. A lot of people are participating in it by themselves through watching TV/videos or teaching each other. However, it is not easy for novice people to find the incorrect parts of their Yoga poses by themselves. In this paper, we propose a Yoga pose assessment method using pose detection to help the self-learning of Yoga. The system first detects a Yoga pose using multi parts detection only with PC camera. Then, it calculates the difference of the specified body angles between the pose of an instructor and that of a user. Then, it calculates the difference of the specified body angles between the pose of an instructor and that of a user, and suggests the correction if larger than the given threshold. The total angle difference values are calculated averagely and defined as performance class level in Table 1. For evaluations, we applied the proposal to three persons with three Yoga poses of basic and easy Yoga poses for beginners and confirmed that it found the incorrect parts of each pose.

Original languageEnglish
Title of host publication2019 International Conference on Advanced Information Technologies, ICAIT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages137-142
Number of pages6
ISBN (Electronic)9781728151731
DOIs
Publication statusPublished - Nov 2019
Event2019 International Conference on Advanced Information Technologies, ICAIT 2019 - Yangon, Myanmar
Duration: Nov 6 2019Nov 7 2019

Publication series

Name2019 International Conference on Advanced Information Technologies, ICAIT 2019

Conference

Conference2019 International Conference on Advanced Information Technologies, ICAIT 2019
CountryMyanmar
CityYangon
Period11/6/1911/7/19

Keywords

  • Body Angle
  • Evaluation
  • OpenPose
  • Pose Assessment
  • Self-learning
  • Yoga

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Modelling and Simulation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Thar, M. C., Winn, K. Z. N., & Funabiki, N. (2019). A Proposal of Yoga Pose Assessment Method Using Pose Detection for Self-Learning. In 2019 International Conference on Advanced Information Technologies, ICAIT 2019 (pp. 137-142). [8920892] (2019 International Conference on Advanced Information Technologies, ICAIT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AITC.2019.8920892