-
- ISHII Yuki
- Graduate School of Toyo University
-
- TSUBAKI Kotaro
- Toyo University
-
- AOKI Koichiro
- Toyo University
-
- ZHENG Hongjie
- Toyo University
-
- KATO Chieko
- Toyo University
Bibliographic Information
- Other Title
-
- 深層学習による姿勢推定を用いた聴覚フィードバック
Abstract
<p>Conventional human motion measurement has problems such as poor performance and high threshold. In this study,we conducted golf swing measurement using OpenPose,which uses deep learning to estimate posture from video images,in order to find a simpler measurement method. The posture data was converted into sound, and the posture state was made sonification. The system enables inexperienced golfers with no prior knowledge to practice efficiently.</p>
Journal
-
- The Proceedings of The Computational Mechanics Conference
-
The Proceedings of The Computational Mechanics Conference 2021.34 (0), 254-, 2021
The Japan Society of Mechanical Engineers
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390010292749419008
-
- ISSN
- 24242799
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- Crossref
-
- Abstract License Flag
- Disallowed