References: [1] Hayashi, I., Fujii, M., Maeda, T., Leveille, J., and Tasaka, T. (2017). Extraction of Knowledge from the Topographic Attentive Mapping Network and its Application in Skill Analysis of Table Tennis. Journal of Human Kinetics, 55(1), 799-780. [2] Nakashima, A., Nonomura, J., Liu, C., and Hayakawa, Y. (2015). Hitting Back-Spin Balls by Robotic Table Tennis System based on Physical Models of Ball Motion. IFAC Proceedings Volumes, 45(22), 342. [3] Zagatto, A., and Gobatto, C. (2017). Relationship between Anaerobic Parameters Provided from MAOD and Critical Power Model in Specific Table Tennis Test. International Journal of Sports Medicine, 33(8), 1779. [4] Muelling, K., Boularias, A., Mohler, B., Schölkopf, B., and Peters, J. (2016). Learning strategies in table tennis using inverse reinforcement learning. Biological Cybernetics, 108 (5), 354-356. [5] Jia, T. Q., Guo, G. P., Yu, Y., and Guo, X. J. (2017). Visual Simulation of Straight-Racket-Hit Skill of Table Tennis Based on MD2 Model. Applied Mechanics and Materials, 1156(50), 911-912. [6] Dou, Y. (2015). Research on Table Tennis Collision Using the Simulation Model of the Computer. Advanced Materials Research, 3470(1030), 370-371. [7] Pfeiffer, M., Zhang, H., and Hohmann, A. (2017). A Markov Chain Model of Elite Table Tennis Competition. International Journal of Sports Science and Coaching, 5(2), 302-303. [8] Chen, Y. W., Tan, T. C., and Lee, P. C. (2015). The Chinese Government and the Globalization of Table Tennis: A Case Study in Local Responses to the Globalization of Sport. The International Journal of the History of Sport, 32(10), 192-193. [9] Zagatto, A. M., and Gobatto, C. A. (2016). Relationship between Anaerobic Parameters Provided from MAOD and Critical Power Model in Specific Table Tennis Test. International Journal of Sports Medicine, 31, 776. [10] Martinent, G., Decret, J. C., Guillet-Descas, E., and Isoard-Gautheur, S. (2017). A reciprocal effects model of the temporal ordering of motivation and burnout among youth table tennis players in intensive training settings. Journal of Sports Sciences, 32(17), 736-737. |