Abstract
With the continuous development of science and technology, artificial intelligence technology and computer-aided instructional technology have become an indispensable part in the process of sports training. How to use computer-aided instruction system for better table tennis training has been a hotspot in relevant research institutions at home and abroad. On that basis, this paper analyzes the characteristics and performance of ICAI for table tennis training. After briefly introducing the basic theory of artificial intelligence and computer-aided technology theory, this paper uses neural network and decision tree method to obtain more stable tactics diagnostic studies and improves the methods of table tennis training tactics based on artificial neural network. And through in-depth research on the artificial neural network technology, this paper uses computer aided teaching software to guide and evaluate tennis practical training. Then, use the relevant algorithm to obtain the indexes and quantify the measurement results after introducing artificial intelligence techniques into the computer aided teaching system. The results show that computer aided teaching system for table tennis training based on artificial intelligence can be more effective tactical training and teaching activities to enhance the reliability and practicality of the teaching system.
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References
Zou, L., Chen, J., Zhang, J., et al.: Image mosaicing algorithm for dynamic scenes using multi-scaled PHOG feature and optimal seam. Pattern Recogn. Artif. Intell. 25(4), 624–631 (2012)
Ramaswami, M., Bhaskaran, R.: A CHAID based performance prediction model in educational data mining. Int. J. Comput. Sci. Issues 7(1), 10–18 (2010)
Wang, H., Xing, L., Qian, Z., et al.: Moving target detection based on improved gaussian mixture model. Comput. Technol. Dev. 12, 034 (2012)
Yong, Q.W.Z.Y.P.: Design and realization of vehicle monitoring terminal based on ARM-Linux system. Electron. Meas. Technol. 2, 20 (2012)
Atalik, T., Deniz, M., Koç, E., et al.: Multi-DSP and -FPGA-based fully digital control system for cascaded multilevel converters used in FACTS applications. IEEE Trans. Ind. Inform. 8(3), 511–527 (2012)
Gao, Y., Liu, B., Wang, J., et al.: High-speed data acquisition and processing system based on DSP and FPGA. Instrum. Tech. Sens. 2, 21 (2011)
Guelzim, I., Hammouch, A., Aboutajdine, D.: Improvement of image matching by using the proximity criterion: application to omnidirectional and perspective images. J. Comput. Sci. 7(8), 359–365 (2011)
Wei, G.Y.L.R.H.: Design and implementation of high definition videoimage system based on FPGAÂ +Â DSP. Electron. Meas. Technol. 1, 18 (2011)
Zhu, Z.: Design of high-speed and mass storage system based on NAND flash. Mod. Electron. Tech. 8, 55 (2011)
Yang, Y.F., Hsieh, M.C., Ku, M.T.: Development of a kinesthetic learning system for schoolchildren’s baseball learning based on competence motivation theory: its effect on students’ skill and motivation. Acta Oecon. 65(s2), 295–307 (2015)
Takano, K., Li, K.F.: A multimedia tennis instruction system: tracking and classifying swing motions. Int. J. Space Based Situat. Comput. 3(3), 155–168 (2013)
Wei, W.E.I.C., Heng, Y.Z., Zhang, W., Tao, W., et al.: The new and high image acquisition system of charge coupled device based on FPGA. Appl. Electron. Tech. 4, 47 (2010)
Zhang, D., Shi, Q.F., Wang, Y.B.: Development and application of data acquisition system based on Lab VIEW and TCP. Metall. Ind. Autom. 35(2), 36–40 (2011)
Hendrianto-Pratomo, A., Prabuwono, A.S., Abdullah, S.N.H.S., et al.: Adaptive robot soccer defence strategy via behavioural trail. J. Inf. Technol. Res. (JITR) 5(3), 25–45 (2012)
Lin, Y.J., Kim, C.M.: Open educational resources and open language learning for taiwanese adult learners. Int. J. Online Pedagogy Course Des. (IJOPCD). 5(2), 58–72 (2015)
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Yang, Q. (2018). The Research on the Analysis of Characteristics and Performance of ICAI for Table Tennis Training. In: Mizera-Pietraszko, J., Pichappan, P. (eds) Lecture Notes in Real-Time Intelligent Systems. RTIS 2016. Advances in Intelligent Systems and Computing, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-60744-3_30
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DOI: https://doi.org/10.1007/978-3-319-60744-3_30
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