Error Motion Tracking Method for Athletes Based on Multi Eye Machine Vision

Author:

Huang Yanlan,Su Chunshou

Publisher

Springer Nature Switzerland

Reference15 articles.

1. Niu, C., Lu, D., Zheng, Y.: Evaluation method of basketball player micro motions based on stackable long and short term memory network. J. Hunan Univ. Sci. Technol. Nat. Sci. Edn. 37(02), 95–103 (2022)

2. Yang, S., Yang, J., Li, Z., et al.: Human action recognition based on LSTM neural network. J. Graph. 42(02), 174–181 (2021)

3. Tao, L.: Application of data mining in the analysis of martial arts athlete competition skills and tactics. J. Healthc. Eng. 36(3), 557–563 (2021)

4. Zhang, Y., Wang, K., Jiang, J., et al.: Research on intraoperative organ motion tracking method based on fusion of inertial and electromagnetic navigation. IEEE Access 51(19), 4881–4889 (2021)

5. Wang, Y.: Real-time collection method of athletes’ abnormal training data based on machine learning. Mob. Inf. Syst. 12(3), 1–11 (2021)

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