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

• Published in: Journal of intelligent & fuzzy systems Vol. 36; no. 2; pp. 1171 - 1181
• Main Authors: Hsia, Chih-Hsien, Chien, Chin-Hsiang, Hsu, Hao-Wei, Chiang, Jen-Shiun, Tseng, Hsien-Wei
• Format: Journal Article
• Language: English
• Published: Amsterdam IOS Press BV 01.01.2019
• Subjects: Image detection; Players; Posture
• ISSN: 1064-1246; 1875-8967
• DOI: 10.3233/JIFS-169891

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.