Analyses of basketball player field goal shooting postures for player motion correction using kinect sensor

摘要

This work proposes an approach using the lowcost Kinect sensor as an assisting device that not only uses a contactless device to capture images information but cooperates with the application of developing field goal shooting posture detection algorithms for basketball players. The algorithms classify the field goal shooting postures of players into three stages as pre-shot, mid-shot, and post-shot routines each time for analyses. The Kinect first sets the posture recognizing conditions through the data provided by professional players and analyzes the postures affecting the highest and lowest field goal shooting percentage the most and least data from the statistical results.