Research on Dynamic Capture and Pattern Recognition Technology of Pitching Technology in Baseball Sports

[1] Formosa, D., & Hamburger, P. (2023). Baseball Field Guide: An In-Depth Illustrated Guide to the Complete Rules of Baseball (Fourth). The Experiment, LLC. Search in Google Scholar

[2] Coleman, A. E., & Szymanski, D. J. (Eds.). (2021). Strength training for baseball. Human Kinetics. Search in Google Scholar

[3] Choi, Y. (2020). Major League Baseball and racialized masculinities in Korean digital media. Communication & Sport, 8(2), 168-187. Search in Google Scholar

[4] Lee, K., & Ok, G. (2022). The Early Cultural Evolution of Baseball in Korea (1876–1945): Unilateral Product of Cultural Imperialism or Multilateral Process?. The International Journal of the History of Sport, 39(6), 653-670. Search in Google Scholar

[5] Palmer, P. (2018). Relief Pitching Strategy: Past, Present, and Future?. The Baseball Research Journal, 47(1), 45-53. Search in Google Scholar

[6] Rosenthal, J. (2020). Emotional Intelligence Methods Utilized by Successful Major League Baseball Closers to Perform Successfully in High Pressure Situations. Brandman University. Search in Google Scholar

[7] Mizels, J., Erickson, B., & Chalmers, P. (2022). Current state of data and analytics research in baseball. Current reviews in musculoskeletal medicine, 15(4), 283-290. Search in Google Scholar

[8] Manzi, J. E., Dowling, B., Krichevsky, S., Roberts, N. L., Sudah, S. Y., Moran, J., ... & Dines, J. S. (2024). Pitch-classifier model for professional pitchers utilizing 3D motion capture and machine learning algorithms. Journal of Orthopaedics, 49, 140-147. Search in Google Scholar

[9] Sidle, G., & Tran, H. (2018). Using multi-class classification methods to predict baseball pitch types. Journal of Sports Analytics, 4(1), 85-93. Search in Google Scholar

[10] Sonnenfeld, J. J., Crutchfield, C. R., Swindell, H. W., Schwarz, W. J., Trofa, D. P., Ahmad, C. S., & Lynch, T. S. (2021). An analysis of in vivo hip kinematics in elite baseball batters using a markerless motion-capture system. Arthroscopy, Sports Medicine, and Rehabilitation, 3(3), e909-e917. Search in Google Scholar

[11] Lapinski, M., Brum Medeiros, C., Moxley Scarborough, D., Berkson, E., Gill, T. J., Kepple, T., & Paradiso, J. A. (2019). A wide-range, wireless wearable inertial motion sensing system for capturing fast athletic biomechanics in overhead pitching. Sensors, 19(17), 3637. Search in Google Scholar

[12] Klemish, D., Ramger, B., Vittetoe, K., Reiter, J. P., Tokdar, S. T., & Appelbaum, L. G. (2018). Visual abilities distinguish pitchers from hitters in professional baseball. Journal of sports sciences, 36(2), 171-179. Search in Google Scholar

[13] Peng Zhou,Yachao Cui,Xiaoxu Guo,Jiabing Wei & Han Cao. (2024). Phase-wise attention GCN for recommendation denoising. Applied Soft Computing111910-111910. Search in Google Scholar

[14] Yutian Liu,Tao Feng,Soora Rasouli & Melvin Wong. (2024). ST-DAGCN: A spatiotemporal dual adaptive graph convolutional network model for traffic prediction. Neurocomputing128175-128175. Search in Google Scholar

[15] Junqi Li & Dianhui Wang. (2024). 2D convolutional stochastic configuration networks. Knowledge-Based Systems112249-112249. Search in Google Scholar