Analysis of the Golf Swing from Weight-Shift using Neural Networks

摘要: Weight-Shift of human body motion means the continuous change weights which is loaded on left and right feet respectively. In this study, a neural network method employed to identify golf swing from weight-shift wave form. We defined eight input features can classify various shapes pattern. The adopted threelayered error back-propagation model consisting ten hidden two output nodes. According experimental results, identifying success rate 97.75% using 10 nodes 5000 epochs.