Search Results - Sport Performance & Science Reports
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A narrative review of deep learning applications in sports performance analysis: current practices, challenges, and future directionsA narrative review of deep learning application...
Jia, Y., Abdullah, N. A., Eliza, H., Lu, Q., Si, D., Guo, H., Wang, W.Published in BMC Sports Science, Medicine and Rehabilitation (2025)“…Eligible studies were those that explicitly applied deep learning techniques (such as convolutional and recurrent neural networks) to sports performance analysis tasks (e.g., action recognition and classification, motion detection and tracking, injury prediction) and reported their methodology and performance metrics. …”
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Effects of plyometric training performed on different surfaces and with different types of footwear on the neuromuscular performance of team-sport athletes: A systematic review
Sanchez-Ottado, G. R., Spyrou, K., Pereira, L. A., Alcaraz, P. E., Zabaloy, S., Loturco, I., Freitas, T. T.Published in Biology of Sport (2025)“…This systematic review aimed to analyze the effects of plyometric training (PT) performed on different surfaces and with different types of footwear on the neuromuscular performance of team-sport athletes, and to properly delineate the role of these specific factors (i.e., surface type and footwear) on PT outcomes. …”
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Biomechanical determinants of change of direction performance: a systematic review
Singh, U., Leicht, A. S., Connor, J. D., Brice, S. M., Alves, A., Doma, K.Published in Sports Medicine (2025)“…Background: The ability to change direction rapidly is crucial for enhancing performance in multidirectional sports. Evidence suggests that several biomechanical variables are associated with faster change of direction (COD) completion times. …”
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