Sports science: The correction of a sportsperson’s pose using a knowledge-based method

Issue title: The 6th International Multi-Conference on Engineering and Technology Innovation 2017 (IMETI2017)

Guest editors: Wen-Hsiang Hsieh

Article type: Research Article

Authors: Hsia, Chih-Hsien^a | Chien, Chin-Hsiang^b | Hsu, Hao-Wei^b | Chiang, Jen-Shiun^b | Tseng, Hsien-Wei^{c; *}

Affiliations: [a] Department of Computer Science and Information Engineering, National Ilan University, Taiwan | [b] Department of Electrical and Computer Engineering, Tamkang University, Taiwan | [c] School of Information Engineering, Longyan University, China

Correspondence: [*] Corresponding author. Hsien-Wei Tseng, School of Information Engineering, Longyan University, China. E-mail: [email protected].

Abstract:  This study proposes a method that uses the Time-of-Flight (ToF) for an assisting device. A contactless Kinect device is used to obtain images of basketball players Field Goal Shooting (FGS) is used to detect posture. The method classifies the FGS postures of players into 3-stage routines for analysis. The ToF first sets the posture correcting conditions using the data provided by professional players and analyzes the postures with the highest and lowest FGS percentage and the most and least data from the statistical results. This gives a stable FGS reference value for the basketball player. The proposed technique has a higher correction rate for the FGS posture (for 100 continuous shots) for a player and allows processing in real-time, with a delay of only 0.4μs.

Keywords: Time-of-Flight (ToF), Field Goal Shooting (FGS), Player movement correction

DOI: 10.3233/JIFS-169891

Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1171-1181, 2019