Exploration of the role of technology in tennis assessment: a literature review
DOI:
https://doi.org/10.47197/retos.v75.117588Keywords:
sports technology, sports evaluation, sports assessment, performance analysisAbstract
Introduction: Technological advancements have significantly influenced the field of sports, particularly in performance assessment within tennis. However, the impact of technology integration on assessment effectiveness, as well as the challenges associated with its implementation, remain underexplored.
Objective: This study aims to examine the role and impact of technology in tennis assessment, including athlete performance evaluation, training load monitoring, and injury risk prevention and management, through a systematic review of recent literature.
Methodology: A systematic review was conducted using the PRISMA framework. Scientific articles indexed in Scopus, Web of Science, PubMed, Google Scholar, and ScienceDirect were screened to identify studies on the integration of various technologies in tennis assessment. Articles published between 2014 and 2024 that focused on technology, performance assessment, and tennis-related injuries were included based on predefined inclusion criteria.
Results: Findings from 20 relevant articles indicate that the application of wearable sensors, video analysis, artificial intelligence, data mining, and digital monitoring systems enhances the accuracy, efficiency, and objectivity of performance assessment and injury detection. These technologies also support personalization, training load monitoring, and the optimization of athlete rehabilitation programs. Nonetheless, concerns remain regarding data privacy, high costs, limited validation, and uneven technology adoption across different levels of play.
Conclusions: The integration of emerging technologies serves as a catalyst for innovation and evidence-based progress in tennis assessment. Multidisciplinary collaboration between sports science, engineering, and data analytics is recommended to sustainably support performance optimization, injury prevention, and informed decision-making for athletes and coaches in modern tennis.
References
Abdi̇Oğlu, M., Hakkı, M. O. R., & Ahmet, M. O. R. (2024, January 1). Field and Court-Based Tests Used in the Determination of Physical Performance in Tennis. International Journal of Disabilities Sports and Health Sciences. Nevzat Demirci. https://doi.org/10.33438/ijdshs.1315076
Adamović, K., Vukićević, A., Vulović, R., Đorović, S., Radaković, R., Jovičić, G., & Filipović, N. (2020). Assessment of a knee resistance by applying the computational methods. Fizicka Kultura, 74(1), 57–64. https://doi.org/10.5937/fizkul2001057a
Amaro, A. M., Paulino, M. F., Neto, M. A., & Roseiro, L. (2019). Hand-arm vibration assessment and chan-ges in the thermal map of the skin in tennis athletes during the service. International Journal of Environmental Research and Public Health, 16(24). https://doi.org/10.3390/ijerph16245117
Ambarwati, A., Aga, A. J., Abusini, S., Krisnawati, V. H., & Prabowo, T. A. (2024). Time Efficiency and Match Optimization in Scheduling Pencak Silat Matches: A Case Study of the Sleman Regency Student Pencak Silat Championship in 2023. Retos, 58, 1071–1078. https://doi.org/https://doi.org/10.47197/retos.v58.107555
Arrum, D. N. A., Nasrulloh, A., Alim, A., Sukamti, E. R., & Prabowo, T. A. (2024). The safety and comfort of football stadiums in Indonesia: an analysis based on spectator perspectives. Retos, 62, 147–154. https://doi.org/https://doi.org/10.47197/retos.v62.109219
Chang, C. W., & Qiu, Y. R. (2022). Constructing a Gaming Model for Professional Tennis Players Using the C5.0 Algorithm. Applied Sciences (Switzerland), 12(16). https://doi.org/10.3390/app12168222
Chen, H. (2022). A Data Mining-Based Model for Evaluating Tennis Players’ Training Movements. Dis-crete Dynamics in Nature and Society, 2022. https://doi.org/10.1155/2022/8950732
Cossich, V. R. A., Carlgren, D., Holash, R. J., & Katz, L. (2023, December 1). Technological Breakthroughs in Sport: Current Practice and Future Potential of Artificial Intelligence, Virtual Reality, Aug-mented Reality, and Modern Data Visualization in Performance Analysis. Applied Sciences (Switzerland). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/app132312965
De Fazio, R., Mastronardi, V. M., De Vittorio, M., & Visconti, P. (2023, February 1). Wearable Sensors and Smart Devices to Monitor Rehabilitation Parameters and Sports Performance: An Overview. Sensors. MDPI. https://doi.org/10.3390/s23041856
Edriss, S., Romagnoli, C., Caprioli, L., Zanela, A., Panichi, E., Campoli, F., … Bonaiuto, V. (2024, February 1). The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications. Applied Sciences (Switzerland). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/app14031012
Fitzpatrick, A., Stone, J. A., Choppin, S., & Kelley, J. (2024). Analysing Hawk-Eye ball-tracking data to explore successful serving and returning strategies at Wimbledon. International Journal of Per-formance Analysis in Sport, 24(3), 251–268. https://doi.org/10.1080/24748668.2023.2291238
Frevel, N., Beiderbeck, D., & Schmidt, S. L. (2022). The impact of technology on sports – A prospective study. Technological Forecasting and Social Change, 182. https://doi.org/10.1016/j.techfore.2022.121838
Fury, M. S., Oh, L. S., & Berkson, E. M. (2022). New Opportunities in Assessing Return to Performance in the Elite Athlete: Unifying Sports Medicine, Data Analytics, and Sports Science. Arthroscopy, Sports Medicine, and Rehabilitation, 4(5), e1897–e1902. https://doi.org/10.1016/j.asmr.2022.08.001
Guppy, F., Muniz-Pardos, B., Angeloudis, K., Grivas, G. V., Pitsiladis, A., Bundy, R., … Pitsiladis, Y. (2023, December 1). Technology Innovation and Guardrails in Elite Sport: The Future is Now. Sports Medicine. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/s40279-023-01913-1
Huang, H., & Deng, R. (2020). Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval. Complexity, 2020. https://doi.org/10.1155/2020/8877161
Kovoor, M., Durairaj, M., Karyakarte, M. S., Zair Hussain, M., Ashraf, M., & Maguluri, L. P. (2024). Sensor-enhanced wearables and automated analytics for injury prevention in sports. Measurement: Sensors, 32. https://doi.org/10.1016/j.measen.2024.101054
Kramberger, I., Filipčič, A., Germič, A., & Kos, M. (2022). Real-Life Application of a Wearable Device to-wards Injury Prevention in Tennis: A Single-Case Study. Sensors, 22(12). https://doi.org/10.3390/s22124436
Kurniawan, F., Hidayatullah, M. F., Kristiyanto, A., Riyadi, S., Ekawati, F. F., Ningrum, N. R., & Prabowo, T. A. (2024). Physical literacy needs in esports: literature review. Retos, 58, 495–505. https://doi.org/10.47197/retos.v58.107885
Li, Yan. (2021). Construction of intelligent campus tennis players’ body data monitoring and injury warning system based on data fusion. Revista Brasileira de Medicina Do Esporte, 27(Special is-sue 2), 46–49. https://doi.org/10.1590/1517-8692202127022021_0018
Li, Yupeng, Kim, K., & Ding, Y. (2021). Early Warning System of Tennis Sports Injury Risk Based on Mo-bile Computing. Mobile Information Systems, 2021. https://doi.org/10.1155/2021/3278276
Liu, W., Liu, Z., & Huang, Z. (2022). Artificial Intelligence Technology to Record the Number of Times the Ball Passes the Net in Tennis Matches. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/7522725
Mei, Z. (2023). 3D Image Analysis of Sports Technical Features and Sports Training Methods Based on Artificial Intelligence. Journal of Testing and Evaluation, 51(1). https://doi.org/10.1520/JTE20210469
Mezian, K., Jačisko, J., Novotný, T., Hrehová, L., Angerová, Y., Sobotová, K., & Naňka, O. (2021, April 2). Ultrasound-guided procedures in common tendinopathies at the elbow: From image to needle. Applied Sciences (Switzerland). MDPI AG. https://doi.org/10.3390/app11083431
Pan, N., Wang, Y., & Tong, J. (2022). Analysis and Improvement of Tennis Motion Recognition Algo-rithm Based on Human Body Sensor Network. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/8188571
Pei, Y., Chen, Y., & Qu, G. (2023). Application of State-of-The-Art Computer Technology to Strength Training in Tennis Instruction. Revista Brasileira de Medicina Do Esporte, 29. https://doi.org/10.1590/1517-8692202329012022_0154
Pollock, A., & Berge, E. (2018, February 1). How to do a systematic review. International Journal of Stroke. SAGE Publications Inc. https://doi.org/10.1177/1747493017743796
Prieto-Lage, I., Paramés-González, A., Torres-Santos, D., Argibay-González, J. C., Reguera-López-de-la-Osa, X., & GutiérrezSantiago, A. (2023). Match analysis and probability of winning a point in elite men’s singles tennis. PLoS ONE, 18(9 September). https://doi.org/10.1371/journal.pone.0286076
Qi, Y., Sajadi, S. M., Baghaei, S., Rezaei, R., & Li, W. (2024). Digital technologies in sports: Opportunities, challenges, and strategies for safeguarding athlete wellbeing and competitive integrity in the di-gital era. Technology in Society, 77. https://doi.org/10.1016/j.techsoc.2024.102496
Rebelo, A., Martinho, D. V., Valente-dos-Santos, J., Coelho-e-Silva, M. J., & Teixeira, D. S. (2023). From data to action: a scoping review of wearable technologies and biomechanical assessments in-forming injury prevention strategies in sport. BMC Sports Science, Medicine and Rehabilitation, 15(1). https://doi.org/10.1186/s13102-023-00783-4
Rethlefsen, M. L., Kirtley, S., Waffenschmidt, S., Ayala, A. P., Moher, D., Page, M. J., … Young, S. (2021). PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systema-tic Reviews. Systematic Reviews, 10(1). https://doi.org/10.1186/s13643-020-01542-z
Ruan, H., & Zhang, X. (2022). Optimization of a Wireless Sensor-Based Tennis Motion Pattern Recogni-tion System. Journal of Sensors, 2022. https://doi.org/10.1155/2022/6232267
Seçkin, A. Ç., Ateş, B., & Seçkin, M. (2023, September 1). Review on Wearable Technology in Sports: Concepts, Challenges and Opportunities. Applied Sciences (Switzerland). Multidisciplinary Digi-tal Publishing Institute (MDPI). https://doi.org/10.3390/app131810399
Skublewska-Paszkowska, M., Lukasik, E., & Smolka, J. (2016). ALGORITHMS FOR TENNIS RACKET ANALYSIS BASED ON MOTION DATA. Advances in Science and Technology Research Journal, 10(31), 255–262. https://doi.org/10.12913/22998624/64019
Subramaniam, S., Shankar, M. R., Zazali, A. A., Swin, H. S., Muhamed, Z., Rajagopal, S., … Embung, F. (2023). A Survey of Evolving Performance Analysis Technologies, Algorithms and Models for Sports. International Journal of Advanced Computer Science and Applications, 14(9), 153–161. https://doi.org/10.14569/IJACSA.2023.0140916
Takahashi, H. (2023). Performance analysis in tennis since 2000: A systematic review focused on the methods of data collection. International Journal of Racket Sports Science. https://doi.org/10.30827/digibug.80900
Vancurik, S., & Dale, C. (2022). Data Analysis of Sport Specific Variables for Performance Consistency Evaluation in Critical Moments of College Tennis Matches. Journal of Emerging Sport Studies, 7. https://doi.org/10.26522/jess.v7i.3982
Waqar, A., Ahmad, I., Habibi, D., & Phung, Q. V. (2021). Analysis of GPS and UWB positioning system for athlete tracking. Measurement: Sensors, 14. https://doi.org/10.1016/j.measen.2020.100036
Wood, D., Reid, M., Elliot, B., Alderson, J., & Mian, A. (2023). The expert eye? An inter-rater comparison of elite tennis serve kinematics and performance. Journal of Sports Sciences, 41(19), 1779–1786. https://doi.org/10.1080/02640414.2023.2298102
Wu, M., Fan, M., Hu, Y., Wang, R., Wang, Y., Li, Y., … Xia, G. (2022). A real-time tennis level evaluation and strokes classification system based on the Internet of Things. Internet of Things (Netherlands), 17. https://doi.org/10.1016/j.iot.2021.100494
Ye, C., Zhu, R., Ma, J., Huang, H., Li, X., & Wen, J. (2024). Comprehensive Tennis Serve Training System Based on Local Attention-Based CNN Model. IEEE Sensors Journal, 24(7), 11917–11926. https://doi.org/10.1109/JSEN.2024.3366781
Yeh, I. L., Elangovan, N., Feczer, R., Khosravani, S., Mahnan, A., & Konczak, J. (2019). Vibration-Damping technology in tennis racquets: Effects on vibration transfer to the arm, muscle fatigue and ten-nis performance. Sports Medicine and Health Science, 1(1), 49–58. https://doi.org/10.1016/j.smhs.2019.09.001
Zhang, S., & Mao, H. (2021). Optimization Analysis of Tennis Players’ Physical Fitness Index Based on Data Mining and Mobile Computing. Wireless Communications and Mobile Computing, 2021. https://doi.org/10.1155/2021/9838477
Zhang, Yan, & Zhao, J. (2023). Integrating the Internet of Things and Computer-Aided Technology with the Construction of a Sports Training Evaluation System. Computer-Aided Design and Applica-tions, 20(S2), 89–98. https://doi.org/10.14733/cadaps.2023.S2.89-98
Zhang, Yihang. (2023). Quality Of Training In Competitive Tennis Sports. Revista Brasileira de Medicina Do Esporte, 29. https://doi.org/10.1590/1517-8692202329012022_0603
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Risti Nurfadhila, Abdul Alim, Wisnu Nugroho, Rafidhiya Mohammad
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and ensure the magazine the right to be the first publication of the work as licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of authorship of the work and the initial publication in this magazine.
- Authors can establish separate additional agreements for non-exclusive distribution of the version of the work published in the journal (eg, to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Is allowed and authors are encouraged to disseminate their work electronically (eg, in institutional repositories or on their own website) prior to and during the submission process, as it can lead to productive exchanges, as well as to a subpoena more Early and more of published work (See The Effect of Open Access) (in English).
This journal provides immediate open access to its content (BOAI, http://legacy.earlham.edu/~peters/fos/boaifaq.htm#openaccess) on the principle that making research freely available to the public supports a greater global exchange of knowledge. The authors may download the papers from the journal website, or will be provided with the PDF version of the article via e-mail.
