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The Development of Exercise Accuracy Measurement Algorithm Supporting Personal Training’s Exercise Amount Improvement

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 11 Number 4 (2022.12)바로가기
  • 페이지
    pp.57-67
  • 저자
    Seung-Taek Oh, Hyeong-Seok Kim, Jae-Hyun Lim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A423247

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원문정보

초록

영어
The demand for personal training (PT), through which high exercise effects can be achieved within shortterm, has recently increased. PT can achieve an exercise amount improvement effect, only if accurate postures are maintained upon performing PT, and exercise with inaccurate postures can cause injuries. However, research is insufficient on exercise amount comparisons and judging exercise accuracy on PT. This study proposes an exercise accuracy measurement algorithm and compares differences in exercise amounts according to exercise postures through experiments using a respiratory gas analyzer. The exercise accuracy measurement algorithm acquires Euler angles from major body parts operated upon exercise through a motion device, based on which the joint angles are calculated. By comparing the calculated joint angles with each reference angle in each exercise step, the status of exercise accuracy is judged. The calculated results of exercise accuracy on squats, lunges, and push-ups showed 0.02% difference in comparison with actually measured results through a goniometer. As a result of the exercise amount comparison experiment according to accurate posture through a respiratory gas analyzer, the exercise amount was higher by 45.19% on average in accurate postures. Through this, it was confirmed that maintaining accurate postures contributes to exercise amount improvement.

목차

Abstract
1. Introduction
2. Exercise Posture Accuracy measurement Algorithm
2.1 Motion Data Acquisition (Euler Angle Extraction)
2.2 Joint Bending Angles Calculation
2.3 Exercise Posture Accuracy Calculation
3. Experiment and Evaluation
3.1 Comparison with Actually Measured Exercise Accuracy
3.2 Consumption according to Exercise Posture Accuracy
4. Conclusion
Acknowledgement
References

키워드

Exercise Accuracy Personal Training Exercise Amount measurement Algorithm

저자

  • Seung-Taek Oh [ Doctor, Smart Natural Space Research Center, Kongju National University, Korea ]
  • Hyeong-Seok Kim [ Master, Department of Computer Science & Engineering, Kongju National University, Korea ]
  • Jae-Hyun Lim [ Professor, Department of Computer Science & Engineering, Kongju National University, Korea. ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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