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Original Articles

The use of artificial intelligence in the analysis of sports performance: A review of applications in human gait analysis and future directions for sports biomechanics

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Pages 229-237 | Published online: 01 Feb 2008

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Reginaldo K. Fukuchi, Darren J. Stefanyshyn, Lisa Stirling & Reed Ferber. (2016) Effects of strengthening and stretching exercise programmes on kinematics and kinetics of running in older adults: a randomised controlled trial. Journal of Sports Sciences 34:18, pages 1774-1781.
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Alan Nevill, Greg Atkinson & Mike Hughes. (2008) Twenty-five years of sport performance research in the Journal of Sports Sciences . Journal of Sports Sciences 26:4, pages 413-426.
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Yiran Jiao, Rylea Hart, Stacey Reading & Yanxin Zhang. (2024) Systematic review of automatic post-stroke gait classification systems. Gait & Posture 109, pages 259-270.
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Quang Dang Huynh, Joel Dedini, David Rowlands, Andrew Busch, Belinda Schwerin & Hugo Espinosa. (2023) AI Enhanced Resistance Training: Segmentation and Velocity Tracking Using Computer Vision. AI Enhanced Resistance Training: Segmentation and Velocity Tracking Using Computer Vision.
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Swathikan Chidambaram, Yathukulan Maheswaran, Kian Patel, Viknesh Sounderajah, Daniel A. Hashimoto, Kenneth Patrick Seastedt, Alison H. McGregor, Sheraz R. Markar & Ara Darzi. (2022) Using Artificial Intelligence-Enhanced Sensing and Wearable Technology in Sports Medicine and Performance Optimisation. Sensors 22:18, pages 6920.
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Tiancong Zhang & Caihua Fu. (2022) Application of Improved VMD-LSTM Model in Sports Artificial Intelligence. Computational Intelligence and Neuroscience 2022, pages 1-6.
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Gao, Cui, Ji, Wang, Hu & Liu. (2019) A Parametric Identification Method of Human Gait Differences and its Application in Rehabilitation. Applied Sciences 9:21, pages 4581.
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Jiang, Gholami, Khoshnam, Eng & Menon. (2019) Estimation of Ankle Joint Power During Walking Using Two Inertial Sensors. Sensors 19:12, pages 2796.
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Boris BačićPatria A. Hume. (2018) Computational Intelligence for Qualitative Coaching Diagnostics: Automated Assessment of Tennis Swings to Improve Performance and Safety. Big Data 6:4, pages 291-304.
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X. Jiang, L. Tory, M. Khoshnam, K.H.T. Chu & C. Menon. (2018) Exploration of Gait Parameters Affecting the Accuracy of Force Myography-Based Gait Phase Detection. Exploration of Gait Parameters Affecting the Accuracy of Force Myography-Based Gait Phase Detection.
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Senglidet Yean, Bu-Sung Lee, Chai Kiat Yeo & Zhaomin Chen. (2018) Automated oscillation detection and correction of fused wearable sensor signals using machine learning. Automated oscillation detection and correction of fused wearable sensor signals using machine learning.
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Nizam Uddin Ahamed, Lauren Benson, Christian Clermont, Sean T. Osis & Reed Ferber. (2017) Fuzzy Inference System-based Recognition of Slow, Medium and Fast Running Conditions using a Triaxial Accelerometer. Procedia Computer Science 114, pages 401-407.
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Benny Lo, Julien Pansiot & Guang-Zhong Yang. (2009) Bayesian Analysis of Sub-plantar Ground Reaction Force with BSN. Bayesian Analysis of Sub-plantar Ground Reaction Force with BSN.
Gilbert Owusu. (2008) AI and computer-based methods in performance evaluation of sporting feats: an overview. Artificial Intelligence Review 27:1, pages 57-70.
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