Classification of Cooperative Actions on Golf Swings Using Cluster Analysis

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. In this study, we attempted to classify cooperative movements using cluster analysis, with the aim of classifying the cooperative movements of individual golfers. We then categorized the cooperative movements into a small number of groups and analyzed the swing characteristics of each group of cooperative movements.