This article presents an analysis of using the second generation Microsoft Kinect to track user’s skeletal joints on golf swing motion. The skeletal joints tracking status data were collected in the experiment based on ten golf players, including four swing postures of eight swing directions. Variance and average value are used to figure out the distribution rule of skeletal joints tracking status information in the eight swing directions. The result shows that the visibility ratio of skeletal joints is between 12.67% and 13.51% in eight swing directions. When swinging directions on −135-degree, −45-degree, 45-degree relative to the Kinect Y-axis plane, it gets the high confidence level. This conclusion can apply to the golf swing motion analytical system based on Kinect sensors.
CITATION STYLE
Li, Z., Ye, S., Jiang, L., Wang, Y., Zhu, D., & Fu, X. (2017). Visibility analysis on swing motion of the golf player based on kinect. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10286 LNCS, pp. 115–126). Springer Verlag. https://doi.org/10.1007/978-3-319-58463-8_11
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