Application and Effectiveness of Modern Technologies in Sports Training - a Literature Review
DOI:
https://doi.org/10.12775/QS.2025.42.60523Keywords
Artificial Intelligence, Virtual Reality, Wearable Technology, Sports Training, Machine Learning, Performance MonitoringAbstract
The use of innovative technologies such as artificial intelligence (AI), virtual reality (VR), augmented reality (AR), and wearable technology has revolutionized sports training, enhancing sporting performance as well as the prevention of injury. This review provides an overview of the utilization and effectiveness of these technologies in contemporary sport with main focus on their role in the tracking real-time performance, tailored training, and the development of cognitive skills. AI and machine learning models provide insightful recommendations on optimizing training loads and injury forecasting, whereas VR and AR create experiential environments for developing decision-making and mental resilience. Continuous physiological and biomechanical monitoring is made possible through wearable sensor devices, presenting athletes and coaches with actionable insights for personalized training plans. In spite of the encouraging developments, challenges abound in the form of data accuracy, privacy concerns, and the high cost of implementation. The review emphasizes the revolutionary nature of such technologies and outlines the imperative for ongoing research to overcome the shortcomings of these technologies and realize their full potential to sporting performance.
References
1.Rodrigues V, Carlgren D, Holash RJ, Katz L. Technological Breakthroughs in Sport: Current Practice and Future Potential of Artificial Intelligence, Virtual Reality, Augmented Reality, and Modern Data Visualization in Performance Analysis. Applied sciences. 2023;13(23):12965-12965. doi:https://doi.org/10.3390/app132312965
2.Huang M, Tang Yongquan. Tech‐driven excellence: A quantitative analysis of cutting‐edge technology impact on professional sports training. Journal of Computer Assisted Learning. 2024;41(1). doi:https://doi.org/10.1111/jcal.13082
3.Bodemer O. Enhancing Individual Sports Training through Artificial Intelligence: A Comprehensive Review. Enhancing Individual Sports Training through Artificial Intelligence: A Comprehensive Review. Published online August 23, 2023. doi:https://doi.org/10.36227/techrxiv.24005916.v1
4.Chidambaram S, Maheswaran Y, Patel K, et al. Using Artificial Intelligence-Enhanced Sensing and Wearable Technology in Sports Medicine and Performance Optimisation. Sensors. 2022;22(18):6920. doi:https://doi.org/10.3390/s22186920
5.Li RT, Kling SR, Salata MJ, Cupp SA, Sheehan J, Voos JE. Wearable Performance Devices in Sports Medicine. Sports Health: A Multidisciplinary Approach. 2015;8(1):74-78. doi:https://doi.org/10.1177/1941738115616917
6.Düking P, Fuss FK, Holmberg HC, Sperlich B. Recommendations for Assessment of the Reliability, Sensitivity, and Validity of Data Provided by Wearable Sensors Designed for Monitoring Physical Activity. JMIR mHealth and uHealth. 2018;6(4):e102. doi:https://doi.org/10.2196/mhealth.9341
7.Migliaccio GM, Padulo J, Russo L. The Impact of Wearable Technologies on Marginal Gains in Sports Performance: An Integrative Overview on Advances in Sports, Exercise, and Health. Applied Sciences. 2024;14(15):6649-6649. doi:https://doi.org/10.3390/app14156649
8.Cardinale M, Varley MC. Wearable Training-Monitoring Technology: Applications, Challenges, and Opportunities. International Journal of Sports Physiology and Performance. 2017;12(Suppl 2):S2-55S2-62. doi:https://doi.org/10.1123/ijspp.2016-0423
9.Saikinov VE, Zolkin AL, Goltseva OS, Belov DO. THE USE OF VIRTUAL REALITY IN TRAINING AND ITS IMPACT ON THE TRAINING OF ATHLETES. EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA. 2024;8/9(149):152-161. doi:https://doi.org/10.36871/ek.up.p.r.2024.08.09.021
10.Jia Y, Zhou X, Yang J, Fu Q. Animated VR and 360-degree VR to assess and train team sports decision-making: a scoping review. Frontiers in Psychology. 2024;15. doi:https://doi.org/10.3389/fpsyg.2024.1410132
11.Yun-chao M, Ren Mengyao, Li X. Application of virtual simulation technology in sports decision training: a systematic review. Frontiers in Psychology. 2023;14. doi:https://doi.org/10.3389/fpsyg.2023.1164117
12.Nagorna Viktoriia, Mytko Artur, Borysova Olha, Shlyapnikova Iryna, Zhyhailova Liubov. CHARACTERISTICS OF MODERN TECHNOLOGIES IN THE TRAINING AND COMPETITIVE PROCESS OF ELITE ATHLETES IN SPORTS GAMES. Sportivna nauka ta zdorov’â lûdini. 2024;11(1). doi:https://doi.org/10.28925/2664-2069.2024.12
13.Rebelo A, Martinho DV, João Valente‐dos‐Santos, Coelho‐e‐Silva MJ, Teixeira D. From data to action: a scoping review of wearable technologies and biomechanical assessments informing injury prevention strategies in sport. BMC Sports Science, Medicine and Rehabilitation. 2023;15(1). doi:https://doi.org/10.1186/s13102-023-00783-4
14.Zhang W. The Application of Big Data in Modern Sports Training: Technologies, Challenges, and Prospects. Studies in Sports Science and Physical Education. 2024;2(2):49-53. doi:https://doi.org/10.56397/ssspe.2024.06.07
15.Edriss S, Romagnoli C, Caprioli L, et al. The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications. Applied Sciences. 2024;14(3):1012. doi:https://doi.org/10.3390/app14031012
16.Graziana Assalve, Lunetti P, Cagno AD, et al. Advanced Wearable Devices for Monitoring Sweat Biochemical Markers in Athletic Performance: A Comprehensive Review. Biosensors. 2024;14(12):574-574. doi:https://doi.org/10.3390/bios14120574
17.Liu L, Zhang X. A Focused Review on the Flexible Wearable Sensors for Sports: From Kinematics to Physiologies. Micromachines. 2022;13(8):1356. doi:https://doi.org/10.3390/mi13081356
18.Benson LC, Räisänen AM, Volkova VG, Pasanen K, Emery CA. Workload a-WEAR-ness:
Monitoring Workload in Team Sports With Wearable Technology. A Scoping Review. Journal of Orthopaedic & Sports Physical Therapy. 2020;50(10):549-563. doi:https://doi.org/10.2519/jospt.2020.9753
19.Seshadri DR, Thom ML, Harlow ER, et al. Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden. Frontiers in Sports and Active Living. 2021;2. doi:https://doi.org/10.3389/fspor.2020.630576
20.Seçkin AÇ, Ateş B, Seçkin M. Review on Wearable Technology in Sports: Concepts, Challenges and Opportunities. Applied sciences. 2023;13(18):10399-10399. doi:https://doi.org/10.3390/app131810399
21.Carrier B, Barrios B, Jolley BD, Navalta JW. Validity and Reliability of Physiological Data in Applied Settings Measured by Wearable Technology: A Rapid Systematic Review. Technologies. 2020;8(4):70. doi:https://doi.org/10.3390/technologies8040070
22.Shei RJ, Holder IG, Oumsang AS, Paris BA, Paris HL. Wearable Activity Trackers–advanced Technology or Advanced marketing? European Journal of Applied Physiology. 2022;122(9).
23.Dünser A, Steinbügl K, Kaufmann H, Glück J. Virtual and augmented reality as spatial ability training tools. Proceedings of the 6th ACM SIGCHI New Zealand chapter’s international conference on Computer-human interaction design centered HCI - CHINZ ’06. Published online 2006. doi:https://doi.org/10.1145/1152760.1152776
24.Kittel A, Lindsay R, Noury PL, Wilkins L. The Use of Extended Reality Technologies in Sport Perceptual-Cognitive Skill Research: A Systematic Scoping Review. Sports Medicine - Open. 2024;10(1). doi:https://doi.org/10.1186/s40798-024-00794-6
25.Schuermans J, Van Hootegem A, Van den Bossche M, Van Gendt M, Witvrouw E, Wezenbeek E. Extended reality in musculoskeletal rehabilitation and injury prevention - A systematic review. Physical Therapy in Sport. 2022;55:229-240. doi:https://doi.org/10.1016/j.ptsp.2022.04.011
26.Le Noury P, Polman R, Maloney M, Gorman A. A Narrative Review of the Current State of Extended Reality Technology and How it can be Utilised in Sport. Sports Medicine. 2022;52. doi:https://doi.org/10.1007/s40279-022-01669-0
27.Yoo H, Chung E, Lee BH. The Effects of Augmented Reality-based Otago Exercise on Balance, Gait, and Falls Efficacy of Elderly Women. Journal of Physical Therapy Science. 2013;25(7):797-801. doi:https://doi.org/10.1589/jpts.25.797
28.Pratik Lamichhane, Shreya Sukralia, Alam B, et al. Augmented reality-based training versus standard training in improvement of balance, mobility and fall risk: a systematic review and meta-analysis. Annals of Medicine and Surgery. 2023;85(8):4026-4032. doi:https://doi.org/10.1097/ms9.0000000000000986
29.Lee J, Yoo H, Lee BH. Effects of augmented reality-based Otago exercise on balance, gait, and physical factors in elderly women to prevent falls: a randomized controlled trial. Journal of Physical Therapy Science. 2017;29(9):1586-1589. doi:https://doi.org/10.1589/jpts.29.1586
30.Ku J, Kim YJ, Cho S, Lim T, Lee HS, Kang YJ. Three-Dimensional Augmented Reality System for Balance and Mobility Rehabilitation in the Elderly: A Randomized Controlled Trial. Cyberpsychology, Behavior, and Social Networking. 2019;22(2):132-141. doi:https://doi.org/10.1089/cyber.2018.0261
31.Hamdaoui T, Ghennam N, Bouchouareb R, Ghouili H. Exploring the Integration and Implications of Artificial Intelligence Chatbots in the Realm of Sports Science Research, Training, and Rehabilitation. Tunisian Journal of Sports Science and Medicine. 2024;2(3):6-16. doi:https://doi.org/10.61838/kman.tjssm.2.3.2
32.Pisaniello A. The Game Changer: How Artificial Intelligence is Transforming Sports Performance and Strategy. Geopolitical, Social Security and Freedom Journal. 2024;7(1):75-84. doi:https://doi.org/10.2478/gssfj-2024-0006
33.Mateus N, Abade E, Coutinho D, Miguel-Ángel Gómez, Peñas CL, Sampaio J. Empowering the Sports Scientist with Artificial Intelligence in Training, Performance, and Health Management. Sensors. 2024;25(1):139-139. doi:https://doi.org/10.3390/s25010139
34.Attila Biró, Antonio Ignacio Cuesta-Vargas, László Szilágyi. AI-controlled training method for performance hardening or injury recovery in sports. Published online January 25, 2024. doi:https://doi.org/10.1109/sami60510.2024.10432911
35.Dideriksen A, Williams J. Machine Learning and Physiological Metrics Enhance Performance Assessment. Communications in computer and information science. Published online January 1, 2019:129-138. doi:https://doi.org/10.1007/978-981-32-9582-7_10
36.Bhatia V. Exploring Machine Learning Applications in Sports Injury Prediction Analysis. International Journal for Research in Applied Science and Engineering Technology. 2024;12(10):1300-1307. doi:https://doi.org/10.22214/ijraset.2024.64850
37.Naglah A, Khalifa F, Mahmoud A, et al. Athlete-Customized Injury Prediction using Training Load Statistical Records and Machine Learning. IEEE Xplore. doi:https://doi.org/10.1109/ISSPIT.2018.8642739
38.Rossi A, Pappalardo L, Filetti C, Cintia P. Blood sample profile helps to injury forecasting in elite soccer players. Sport Sciences for Health. Published online May 11, 2022. doi:https://doi.org/10.1007/s11332-022-00932-1
39.Dovgan N. The Pivotal Role of Technology in Enhancing Athletic Performance: Insights and Future Directions. Social Science Research Network. doi:https://doi.org/10.2139/ssrn.4602857
40.Wen L, Qiao Z, Mo J. Modern technology, artificial intelligence, machine learning and internet of things based revolution in sports by employing graph theory matrix approach. AIMS mathematics. 2024;9(1):1211-1226. doi:https://doi.org/10.3934/math.2024060
41.Rajšp A, Fister I. A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training. Applied Sciences. 2020;10(9):3013. doi:https://doi.org/10.3390/app10093013
42.Lutz J, Memmert D, Raabe D, Dornberger R, Donath L. Wearables for Integrative Performance and Tactic Analyses: Opportunities, Challenges, and Future Directions. International Journal of Environmental Research and Public Health. 2019;17(1):59. doi:https://doi.org/10.3390/ijerph17010059
43.Qi Y, Sajadi SM, Baghaei S, Rezaei R, Li W. Digital technologies in sports: Opportunities, challenges, and strategies for safeguarding athlete wellbeing and competitive integrity in the digital era. Technology in Society. 2024;77(1):102496. doi:https://doi.org/10.1016/j.techsoc.2024.102496
44.Windt J, MacDonald K, Taylor D, Zumbo BD, Sporer BC, Martin DT. “To Tech or Not to Tech?” A Critical Decision-Making Framework for Implementing Technology in Sport. Journal of Athletic Training. 2020;55(9):902-910. doi:https://doi.org/10.4085/1062-6050-0540.19
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Copyright (c) 2025 Tomasz Włoch, Marcin Kwiatkowski, Tomasz Koziński, Marta Donderska, Paulina Bochniak, Jakub Kołacz, Patrycja Oleś, Mateusz Bryła, Zofia Bryła, Monika Szpaczyńska-Kwiatkowska
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