Feature Analysis of a Golf Swing Using by Singular Value Decomposition

Abstract

In this study, we tried to analyze the feature of golf swings using by singular value decomposition (SVD). For extracting cooperative action from different swings, we conducted experiment of acquiring swing data. Subjects were 2 beginners and 5 intermediates, 4 expert golfers for analyzing the swing features. We measured each golfer’s swings by motion capture system (VICON). We built observance matrix from acquired positional data and we conducted SVD on this observance matrix. By conducting SVD, we extracted cooperative action as some independent modes. Then, as for showing the swing features of each golfer, we computed correlation coefficient by space basis which is one of the independent modes of SVD. As a result, we reached the following conclusion that we could show swing features of individual expert golfers from 3^rd to 5^th mode and the difference experts and intermediates, beginners using by the correlation coefficient computed from 3^rd to 5^th mode.