Abstract
This paper takes 47 technical and tactical indices of 7 categories of table tennis matches, including stroke placements, stroke techniques, stroke positions, game actions, stroke effects, stroke spins and stroke results to construct a multi-dimensional analytical system with data mining algorithm. On this basis, 10 matches between Japanese female player ITO Mima and Chinese players are analyzed systematically. The results show that: (1) The collection system has three main functions, including video monitoring, video editing, technical and tactical information editing; (2) Match data, videos and tactical graphics provided by the analytical system can help players and coaches understand tactics more quickly and meticulously; (3) The effective tactics of ITO Mima are more diverse and aggressive in the receive round; and the main tactic of her is serving the ball to short, and striking with topspin in backhand initiatively (serve round), while in the receive round, attack and topspin in backhand are most obvious technical and tactical features; (4) The application of data mining and modeling in game analysis can reduce the judgment error by human, and make the results more objective and accurate.
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Zhou, Z., Zhang, H. (2020). A Multi-dimensional Analytical System of Table Tennis Matches. In: Lames, M., Danilov, A., Timme, E., Vassilevski, Y. (eds) Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019). IACSS 2019. Advances in Intelligent Systems and Computing, vol 1028. Springer, Cham. https://doi.org/10.1007/978-3-030-35048-2_6
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DOI: https://doi.org/10.1007/978-3-030-35048-2_6
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