Affiliation:
1. National Taiwan University of Sport
2. National Chung Hsing University
3. Hungkuang University
Abstract
AbstractTo become an elite table tennis player, aside from continually practicing, players must know their strengths and weaknesses to plan their strategy beforehand and increase their rate of winning. The main problems with previous research are that the data collected were incomplete and imprecise. To address these problems, we established” The Intellectual Tactical System in Competitive Table Tennis”, using video analysis to collect competitive data. And, we proposed a machine learning method using a combination of feature-selection and association rules to discover interesting rules from the data. The international matches of the Taiwanese table tennis single player Yun-Ju Lin were used as research samples by applying 3S (speed, spin, spot) theory to collect and analyze data. The critical factors and scenarios were analyzed to identify the winning tactical models. The results of this study may provide useful suggestions for Yun-Ju Lin on training and building tactics in competitions.
Publisher
Research Square Platform LLC
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