Next Article in Journal
A Semantic SLAM System for Catadioptric Panoramic Cameras in Dynamic Environments
Previous Article in Journal
Towards Interpretable Deep Learning: A Feature Selection Framework for Prognostics and Health Management Using Deep Neural Networks
Article

Statistical Extraction Method for Revealing Key Factors from Posture before Initiating Successful Throwing Technique in Judo

1
Doctoral Program in Computer Science, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
2
Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
3
JST, PRESTO, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Gregorij Kurillo
Sensors 2021, 21(17), 5884; https://doi.org/10.3390/s21175884
Received: 14 July 2021 / Revised: 12 August 2021 / Accepted: 18 August 2021 / Published: 1 September 2021
(This article belongs to the Section Wearables)
Many methods such as biomechanics and coaching have been proposed to help people learn a certain movement. There have been proposals for methods to discover characteristics of movement based on information obtained from videos and sensors. Especially in sports, it is expected that these methods can provide hints to improve movement skills. However, conventional methods focus on individual movements, and do not consider cases where external factors influence the movement, such as combat sports. In this paper, we propose a novel method called the Extraction for Successful Movement method (XSM method). Applying the method, this paper focuses on throwing techniques in judo to discover key factors that induce successful throwing from the postures right before initiating the throwing techniques. We define candidate factors by observing the video scenes where the throwing techniques are successfully performed. The method demonstrates the significance of the key factors according to the predominance of factors by χ2 test and residual analysis. Applying the XSM method to the dataset obtained from the videos of the Judo World Championships, we demonstrate the validity of the method with discussing the key factors related to the successful throwing techniques. View Full-Text
Keywords: motion sensing; skill extraction; throwing technique of judo; statistical approach; coaching technique motion sensing; skill extraction; throwing technique of judo; statistical approach; coaching technique
Show Figures

Figure 1

MDPI and ACS Style

Kato, S.; Yamagiwa, S. Statistical Extraction Method for Revealing Key Factors from Posture before Initiating Successful Throwing Technique in Judo. Sensors 2021, 21, 5884. https://doi.org/10.3390/s21175884

AMA Style

Kato S, Yamagiwa S. Statistical Extraction Method for Revealing Key Factors from Posture before Initiating Successful Throwing Technique in Judo. Sensors. 2021; 21(17):5884. https://doi.org/10.3390/s21175884

Chicago/Turabian Style

Kato, Satoshi, and Shinichi Yamagiwa. 2021. "Statistical Extraction Method for Revealing Key Factors from Posture before Initiating Successful Throwing Technique in Judo" Sensors 21, no. 17: 5884. https://doi.org/10.3390/s21175884

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop