Explorando la tendencia de la investigación y el desarrollo de la tecnología de las ciencias del deporte en las últimas 4 décadas: revisión sistemática (Exploring the research trend and development of sports science technology in the last 4 decades: systematic review)

Autores/as

  • Andhega Wijaya Universitas Negeri Surabaya
  • Muchamad Arif Al Ardha Universitas Negeri Surabaya https://orcid.org/0000-0002-9192-2072
  • Nurhasan Nurhasan Universitas Negeri Surabaya
  • Chung Bing Yang National Dong Hwa University
  • Ru Han Lin National Dong Hwa University
  • Andika Bayu Putro Universitas Negeri Surabaya https://orcid.org/0009-0009-5122-9060

DOI:

https://doi.org/10.47197/retos.v61.109306

Palabras clave:

technological advancements, sensor technology, big data analytics, virtual reality in sports

Resumen

Este estudio revisa sistemáticamente las tendencias y la evolución de la tecnología de las ciencias del deporte en las últimas cuatro décadas. Mediante un exhaustivo análisis sistemático de 1.127 artículos de la base de datos SCOPUS, se pretende identificar las áreas temáticas clave, los países contribuyentes y los patrones de palabras clave predominantes en este campo. El análisis pone de relieve un aumento significativo de las publicaciones y citas, lo que indica la creciente importancia y reconocimiento de la tecnología de las ciencias del deporte. Japón encabeza las contribuciones con el mayor número de publicaciones y citas, seguido de Estados Unidos y China. La medicina y la ingeniería aparecen como las áreas temáticas más influyentes, lo que subraya el carácter interdisciplinar de la investigación. El análisis de palabras clave reveló un fuerte énfasis en los estudios humanos, los deportes y la integración de la ciencia y la tecnología, lo que refleja el panorama cambiante del campo. Los resultados muestran que los avances tecnológicos, como la tecnología de sensores, el análisis de macrodatos y la realidad virtual, han revolucionado la ciencia del deporte al mejorar la supervisión del rendimiento, la prevención de lesiones y los procesos de rehabilitación. El estudio identifica las tendencias críticas y proporciona información sobre las futuras direcciones de investigación, abogando por la colaboración interdisciplinaria continua y la cooperación global para seguir avanzando en este campo. Estas reflexiones ofrecen una visión global del estado histórico y actual de la tecnología de las ciencias del deporte y sirven de hoja de ruta para futuras innovaciones y aplicaciones. Al comprender el desarrollo y las tendencias actuales de la tecnología de las ciencias del deporte, los investigadores y profesionales pueden planificar y aplicar mejor estrategias eficaces para mejorar el rendimiento deportivo y la salud, contribuyendo en última instancia al campo más amplio de la ciencia y la tecnología del deporte.

Palabras clave: avances tecnológicos, tecnología de sensores, análisis de macrodatos, realidad virtual en el deporte

Abstract. This study systematically reviews the trends and developments in sports science technology over the past four decades. Utilizing a comprehensive systematic review analysis of 1,127 articles from the SCOPUS database, we aimed to identify key subject areas, contributing countries, and prevailing keyword patterns in the field. The analysis highlights a significant increase in publications and citations, indicating the growing importance and recognition of sports science technology. Japan leads in contributions with the highest number of publications and citations, followed by the United States and China. Medicine and engineering emerged as the most influential subject areas, underscoring the interdisciplinary nature of the research. Keyword analysis revealed a strong emphasis on human studies, sports, and the integration of science and technology, reflecting the field's evolving landscape. Findings show that technological advancements such as sensor technology, big data analytics, and virtual reality have revolutionized sports science by enhancing performance monitoring, injury prevention, and rehabilitation processes. The study identifies critical trends and provides insights into future research directions, advocating for continued interdisciplinary collaboration and global cooperation to further advance the field. These insights offer a comprehensive overview of the historical and current state of sports science technology, serving as a roadmap for future innovations and applications. By understanding the development and current trends in sports science technology, researchers and practitioners can better plan and implement effective strategies for improving athletic performance and health, ultimately contributing to the broader field of sports science and technology.

Keywords: technological advancements, sensor technology, big data analytics, virtual reality in sports

Citas

Ae, M. (2020). The next steps for expanding and developing sport biomechanics. Sports Biomechanics, 19(6), 701–722. https://doi.org/10.1080/14763141.2020.1743745

An, D.-S., Moon, K.-S., Kang, M.-Y., & Yang, C.-H. (2016). Relationship among the motivation of foreign participants in international taekwondo event image, and participation satisfaction. Indian Journal of Science and Technology, 9(41). https://doi.org/10.17485/ijst/2016/v9i41/103859

Aquino, R., Carling, C., Palucci Vieira, L. H., Martins, G., Jabor, G., Machado, J., … Puggina, E. (2020). Influence of Situational Variables, Team Formation, and Playing Position on Match Running Performance and Social Network Analysis in Brazilian Professional Soccer Players. Journal of Strength and Conditioning Research, 34(3), 808–817. https://doi.org/10.1519/JSC.0000000000002725

Ashley, K. (2020). Applied Machine Learning for Health and Fitness: A Practical Guide to Machine Learning with Deep Vision, Sensors and IOT. In Applied Machine Learning for Health and Fitness: A Practical Guide to Machine Learning with Deep Vision, Sensors and IoT. Belmont, CA, United States: Springer. https://doi.org/10.1007/978-1-4842-5772-2

Balagué, N., Torrents, C., Hristovski, R., & Kelso, J. A. S. (2017). Sport science integration: An evolutionary synthesis. European Journal of Sport Science, 17(1), 51–62. https://doi.org/10.1080/17461391.2016.1198422

Bastida Castillo, A., Gómez Carmona, C. D., De la cruz sánchez, E., & Pino Ortega, J. (2018). Accuracy, intra- and inter-unit reliability, and comparison between GPS and UWB-based position-tracking systems used for time–motion analyses in soccer. European Journal of Sport Science, 18(4), 450–457. https://doi.org/10.1080/17461391.2018.1427796

Brazil, A., Exell, T., Wilson, C., & Irwin, G. (2020). A biomechanical approach to evaluate overload and specificity characteristics within physical preparation exercises. Journal of Sports Sciences, 38(10), 1140–1149. https://doi.org/10.1080/02640414.2020.1743065

Buyrukoğlu, E., & Bayindir, M. (2023). A Research on the Use of Wearable Technological Sports Products in Sports Sciences. Tekstil ve Muhendis, 30(131), 201–209. https://doi.org/10.7216/teksmuh.1282117

Carling, C., & Court, M. (2013). Match and motion analysis. In Science and Soccer: Developing Elite Performers, Third Edi-tion (pp. 173–198). University of Central Lancashire, Lille Football Club, United Kingdom: Taylor and Francis. https://doi.org/10.4324/9780203131862

Chen, F. (2021). Athlete muscle measurement and exercise data monitoring based on embedded system and wearable devices. Microprocessors and Microsystems, 82. https://doi.org/10.1016/j.micpro.2021.103901

Chen, Z. (2016). Development and testing of sensor-based real-time data acquisition system of discus motion parame-ters. Sensor Letters, 14(11), 1084–1088. https://doi.org/10.1166/sl.2016.3744

Cooper, R. A., & De Luigi, A. J. (2014). Adaptive sports technology and biomechanics: Wheelchairs. PM and R, 6(8 SUPPL.). https://doi.org/10.1016/J.PMRJ.2014.05.020

da Silva, J. C. G., Silva, K. F., Batista, C. E. C. F., Patrício, G. T., & Batista, G. R. (2023). Development of prototypes in sport: A systematic review. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology. https://doi.org/10.1177/17543371231189920

de Crignis, A. C., Ruhnau, S. T., Hösl, M., Lefint, J., Amberger, T., Dressnandt, J., … Müller, F. (2023). Robotic arm training in neurorehabilitation enhanced by augmented reality – a usability and feasibility study. Journal of NeuroEngi-neering and Rehabilitation, 20(1), 105. https://doi.org/10.1186/s12984-023-01225-5

Di Tocco, J., Massaroni, C., Raiano, L., Formica, D., & Schena, E. (2020). A wearable system for respiratory and pace monitoring in running activities: A feasibility study. 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings, 44–48. Unit of Measurements and Biomedical Instrumentation, Univer-sità Campus Bio-Medico di Roma, Rome, Italy: Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/MetroInd4.0IoT48571.2020.9138234

Enomoto, I. (2016). Relationship between physical fitness characteristics and sports experience in childhood and adoles-cence among Japanese Female University students. In Physical Activity Effects on the Anthropological Status of Children, Youth and Adults (pp. 117–128). Kamakura Women’s University, Kanagawa, Japan: Nova Science Publishers, Inc. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019898631&partnerID=40&md5=e14e41464ffcdbeb2592898366eef42a

Feng, Y., Jin, D., Shao, Q., Niu, J., Vladareanu, L., & Wang, H. (2020). Game scene construction for lower limb reha-bilitation robot based on virtual reality. Proceedings - 2020 5th International Conference on Electromechanical Control Tech-nology and Transportation, ICECTT 2020, 74–78. https://doi.org/10.1109/ICECTT50890.2020.00024

Figueredo, Y. O. C., Giraud, B. Y. J., Orihuela, R. A. V, Sánchez, M. T., & Ceballos, J. J. M. (2022). Design Commu-nity Projects as A Specific Professional Skill from The CTS Vision. Universidad y Sociedad, 14(4), 654–663. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131100346&partnerID=40&md5=1a09c2a897acfd81209062d86690d61f

Gamble, P., Chia, L., & Allen, S. (2020). The illogic of being data-driven: reasserting control and restoring balance in our relationship with data and technology in football. Science and Medicine in Football, 4(4), 338–341. https://doi.org/10.1080/24733938.2020.1854842

Gokeler, A., Bisschop, M., Myer, G. D., Benjaminse, A., Dijkstra, P. U., van Keeken, H. G., … Otten, E. (2016). Immersive virtual reality improves movement patterns in patients after ACL reconstruction: implications for en-hanced criteria-based return-to-sport rehabilitation. Knee Surgery, Sports Traumatology, Arthroscopy, 24(7), 2280–2286. https://doi.org/10.1007/S00167-014-3374-X/METRICS

Hamill, J., & Bates, B. T. (2023). Biomechanics and footwear research 1970–2000. Footwear Science, 15(2), 123–131. https://doi.org/10.1080/19424280.2023.2209045

Honma, H., Iida, Y., Okumura, Y., Fujii, K., & Kuno, Y. (2021). Implementation of VR-based personal basketball team-practice equipment. LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies, 207–208. Graduate Program of Mechatronics, Graduate School of Science and Engineering, Nanzan University, Nagoya, Ja-pan: Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/LifeTech52111.2021.9391886

Honma, H., Iida, Y., Okumura, Y., Fujii, K., & Umehira, M. (2022). Prototype development of VR based personal zone defense practice equipment. LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies, 557–558. Nanzan University, Graduate Program of Mechatronics Graduate School of Science and Engineering, Na-goya, Japan: Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/LifeTech53646.2022.9754953

Hughes, M., & Bartlett, R. (2019). What is performance analysis? In Essentials of Performance Analysis in Sport: Third edition (pp. 11–20). Cardiff Metropolitan University, United Kingdom: Taylor and Francis. https://doi.org/10.4324/9780429340130-2

Ito, Y., Aoki, T., Sato, T., Oishi, K., & Ishii, K. (2020). Comparison of quadriceps setting strength and knee extension strength tests to evaluate lower limb muscle strength based on health-related physical fitness values in elderly people. BMJ Open Sport and Exercise Medicine, 6(1). https://doi.org/10.1136/bmjsem-2020-000753

Ivaschenko, A. V., Aleksandrova, M. V., Zheikov, D. S., Zakharova, E. V., & Kolsanov, A. V. (2024). Adaptation of virtual reality interfaces to psychological diagnosis and medical rehabilitation applications. Biomedical Engineering, 57(5), 340–342. https://doi.org/10.1007/S10527-023-10329-0/FIGURES/3

James, D., Lee, J., & Wheeler, K. (2019). Introduction to wearable sensors. SpringerBriefs in Applied Sciences and Technol-ogy, 1–6. https://doi.org/10.1007/978-981-13-3777-2_1

Kanschik, D., Bruno, R. R., Wolff, G., Kelm, M., & Jung, C. (2023). Virtual and augmented reality in intensive care medicine: a systematic review. Annals of Intensive Care, 13(1), 81. https://doi.org/10.1186/s13613-023-01176-z

Kaur, N. (2023). The Effect of Virtual and Augmented Reality on Well-Being: Perspectives in Mental Health Education. Lecture Notes in Networks and Systems, 588, 525–534. https://doi.org/10.1007/978-981-19-7982-8_44

Keen, R. (2018). Nutrition-Related Considerations in Soccer: A Review. American Journal of Orthopedics (Belle Mead, N.J.), 47(12). https://doi.org/10.12788/ajo.2018.0100

Köhne, M., & Waibel, K. (2022). Winter sports nation Germany—injuries in alpine ski racing and mass sports: Statis-tics and injury mechanisms in winter sports and current trends in sports science. Orthopadie, 51(11), 929–938. https://doi.org/10.1007/s00132-022-04313-x

Kristiyanto, A., Prasetyo, Y., Pratama, K. W., Karakauki, M., Mustapha, A., & Idrus, S. Z. S. (2020). Access to the Utilization of Science and Technology of Sports and Familiarity of the Sports Community towards Technologically Based Devices. Journal of Physics: Conference Series, 1529(2). Faculty of Sports, Sebelas Maret University, Insinyur Sutami No. 36 A Kentingan, Jebres, Surakarta City, Central Java 57126, Indonesia: IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1529/2/022099

Lease, B. A., Lim, K. H., Phang, J. T. S., & Chiam, D. H. (2024). Enhancing Sports Analytics through Web-Based Ap-plication: A Workflow Perspective. 2024 International Conference on Green Energy, Computing and Sustainable Technolo-gy, GECOST 2024, 282–286. https://doi.org/10.1109/GECOST60902.2024.10475000

Lee, J. W., Song, S., Kim, Y., Park, S.-B., & Han, D. H. (2023). Soccer’s AI transformation: deep learning’s analysis of soccer’s pandemic research evolution. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1244404

Liang, J., & He, Q. (2023). Application of artificial intelligence wearable devices based on neural network algorithm in mass sports activity evaluation. Soft Computing, 27(14), 10177–10188. https://doi.org/10.1007/s00500-023-08249-y

Liu, C., Hao, W., & Huo, B. (2023). Advances and challenges in sports biomechanics. Advances in Mechanics, 53(1), 198–238. https://doi.org/10.6052/1000-0992-22-030

Liu, H., Zhang, W., Hu, D., & Zhang, H. (2016). Nanometer technology and the development of competitive sports in China. International Journal of Simulation: Systems, Science and Technology, 17(25). https://doi.org/10.5013/IJSSST.a.17.25.04

Liu, Y., & Liu, L. (2023). Analysis of auxiliary modes for sports intelligence training system based on nonlinear model optimization and improved algorithms. Soft Computing. https://doi.org/10.1007/s00500-023-08546-6

Massaroni, C., Di Tocco, J., Sabbadini, R., Carnevale, A., Lo Presti, D., Schena, E., … Sterzi, S. (2020). Influence of torso movements on a multi-sensor garment for respiratory monitoring during walking and running activities. I2MTC 2020 - International Instrumentation and Measurement Technology Conference, Proceedings. Univ. Campus Bio-Medico di Roma, Unit of Measurements, Rome, Italy: Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/I2MTC43012.2020.9128754

Massaroni, C., Zaltieri, M., Presti, D. L., Nicolò, A., Tosi, D., & Schena, E. (2021). Fiber Bragg grating sensors for cardiorespiratory monitoring: A review. IEEE Sensors Journal, 21(13), 14069–14080. https://doi.org/10.1109/JSEN.2020.2988692

Mehta, S. (2019). Relationship between workload and throwing injury in varsity baseball players. Physical Therapy in Sport, 40, 66–70. https://doi.org/10.1016/j.ptsp.2019.08.001

Moylan, E. C., & Horne, G. (2013). A new era in sports science: The launch of BMC sports science, medicine and re-habilitation. BMC Sports Science, Medicine and Rehabilitation, 5(1). https://doi.org/10.1186/2052-1847-5-1

Müller, S., Dekker, E., Morris-Binelli, K., Piggott, B., Hoyne, G., Christensen, W., … Hambrick, D. Z. (2023). At-tributes of Expert Anticipation Should Inform the Design of Virtual Reality Simulators to Accelerate Learning and Transfer of Skill. Sports Medicine, 53(2), 301–309. https://doi.org/10.1007/s40279-022-01735-7

Neshitov, A., Tyapochkin, K., Kovaleva, M., Dreneva, A., Surkova, E., Smorodnikova, E., & Pravdin, P. (2023). Esti-mation of cardiorespiratory fitness using heart rate and step count data. Scientific Reports, 13(1), 15808. https://doi.org/10.1038/s41598-023-43024-x

Park, C., & Moon, J. (2013). Using Game Technology to Develop Snowboard Training Simulator. Communications in Computer and Information Science, 374(PART II), 723–726. Dept. of Game Engineering, Hoseo University, Asan, Chungnam, 336-795, 165 Sechul-ri, Baebang-myun, South Korea: Springer Verlag. https://doi.org/10.1007/978-3-642-39476-8_145

Park, M.-J., & Park, T.-S. (2019). A systematic review on the convergence of contents in taekwondo performance and virtual reality technology. Asia Life Sciences, 28(2), 217–229. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074231123&partnerID=40&md5=207890cbd6a32f86a5550c910d14c333

Park, S. H., & Silva, M. (2004). Neuromuscular electrical stimulation enhances fracture healing: Results of an animal model. Journal of Orthopaedic Research, 22(2), 382–387. https://doi.org/10.1016/J.ORTHRES.2003.08.007

Rajendran, S. B., Challen, K., Wright, K. L., & Hardy, J. G. (2021). Electrical stimulation to enhance wound healing. Journal of Functional Biomaterials, 12(2). https://doi.org/10.3390/JFB12020040

Reis, F., Sá-Moura, B., Guardado, D., Couceiro, P., Catarino, L., Mota-Pinto, A., … Malva, J. O. (2019). Develop-ment of a Healthy Lifestyle Assessment Toolkit for the General Public. Frontiers in Medicine, 6. https://doi.org/10.3389/fmed.2019.00134

Ren, Y., & Li, J. (2021). The Conception of Application of Computer Virtual Reality Technology in Sports Training. Journal of Physics: Conference Series, 1861(1). Capital University of Physical Education and Sports, Beijing, 100091, China: IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1861/1/012110

Renner, E., Lang, N., Langenstein, B., Struck, M., & Bertsch, T. (2020). Validating sweat ammonia as physiological parameter for wearable devices in sports science. Proceedings of the Annual International Conference of the IEEE Engineer-ing in Medicine and Biology Society, EMBS, 2020-July, 4644–4647. Friedrich-Alexander University Erlangen-Nürnberg (FAU), Institute of Microwaves and Photonics, Erlangen, 91058, Germany: Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/EMBC44109.2020.9175434

Rossi, A., Perri, E., Trecroci, A., Savino, M., Alberti, G., & Iaia, F. M. (2017). GPS data reflect players’ internal load in soccer. In G. R., K. G., R. V., W. X., M. L., A. S., … D. G. (Eds.), IEEE International Conference on Data Mining Workshops, ICDMW (Vol. 2017-Novem, pp. 890–893). Dept. of Biomedical Science for Health, Uninversit Degli Dtudi di Milano, Milan, Italy: IEEE Computer Society. https://doi.org/10.1109/ICDMW.2017.122

Sangeethalakshmi, K., Sasi Kumar, C., Lakshmi, V. V., Giriprasad, S., Malathi, N., & Velmurugan, S. (2023). Smart Biomechanics System with IoT and Cloud Computing for Injury Prevention and Muscle Fatigue Analysis. 2023 3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023. https://doi.org/10.1109/SMARTGENCON60755.2023.10442220

Schweinbenz, A. N. (2016). Sport training, sport science, and technology. In The Routledge History of American Sport (pp. 345–357). Laurentian University, Canada: Taylor and Francis. https://doi.org/10.4324/9781315767123-40

Scott, M. J., Summerley, R., Besombes, N., Connolly, C., Gawrysiak, J., Halevi, T., … Patrick Williams, J. (2021). Towards a Framework to Support the Design of Esports Curricula in Higher Education. Annual Conference on Innova-tion and Technology in Computer Science Education, ITiCSE, 599–600. Falmouth University, United Kingdom: Associa-tion for Computing Machinery. https://doi.org/10.1145/3456565.3461440

Shushardzhan, S. V., Eremina, N., Shushardzhan, R., Allik, T., & Mukasheva, K. (2023). Scientific Music Therapy Technologies for Psychological Care and Rehabilitation in the COVID-19 Pandemic. Lecture Notes in Networks and Sys-tems, 448, 627–637. https://doi.org/10.1007/978-981-19-1610-6_55

Slaughter, P. R., & Adamczyk, P. G. (2020). Tracking quantitative characteristics of cutting maneuvers with wearable movement sensors during competitive women’s ultimate frisbee games. Sensors (Switzerland), 20(22), 1–17. https://doi.org/10.3390/s20226508

Song, Y., Sárosi, J., Cen, X., & Bíró, I. (2023). Human motion analysis and measurement techniques: current applica-tion and developing trend. Analecta Technica Szegedinensia, 17(2), 48–58. https://doi.org/10.14232/ANALECTA.2023.2.48-58

Thomas, S. V., & Gilbert, J. E. (2016). Integrating Technology to Enhance Athlete Development: A Literature Review. Journal of Higher Education Athletics & Innovation, 1, 73–84. https://doi.org/10.15763/ISSN.2376-5267.2016.1.1.73-84

Toto, G. A. (2022). A Systematic Review on Digital Technologies on Sport Science: Didactic of Sport. Formazione & Insegnamento, 20(1 Suppl.), 001–012. https://doi.org/10.7346/-feis-XX-01-22_01

Tsumori, T. (2013). [Introduction of Shimane University’s outside funded support project for female researchers and healthcare staff]. Kaibogaku zasshi. Journal of anatomy, 88(4), 61–66. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891499061&partnerID=40&md5=7c8641dd06726aba7bf4627429582341

Vellios, E. E., Pinnamaneni, S., Camp, C. L., & Dines, J. S. (2020). Technology Used in the Prevention and Treatment of Shoulder and Elbow Injuries in the Overhead Athlete. Current Reviews in Musculoskeletal Medicine, 13(4), 472–478. https://doi.org/10.1007/s12178-020-09645-9

Wang, G. (2023). Hot Topics of Molecular and Cellular Biomechanics in 2022. Molecular & Cellular Biomechanics, 20(2), 63–66. https://doi.org/10.32604/MCB.2023.044564

Wang, J., & Liu, B. (2023). Analyzing the feature extraction of football player’s offense action using machine vision, big data, and internet of things. Soft Computing, 27(15), 10905–10920. https://doi.org/10.1007/s00500-023-08735-3

Xie, X. J., Xiang, J. J., & Liu, L. M. (2013). The application of sensor technology in physical training. Applied Mechanics and Materials, 336–338, 144–147. College of Physical Education and Health, Chongqing There Gorges College, Wan Zhou, China. https://doi.org/10.4028/www.scientific.net/AMM.336-338.144

Xu, Y., Huang, J., Yao, Y., & Zeng, C. (2022). Construction of Sports Rehabilitation Training Method Based on Virtual Reality. Journal of Circuits, Systems and Computers, 32(02), 2350034. https://doi.org/10.1142/S0218126623500342

Zhang, Y., & Tsai, S. B. (2021). Application of Adaptive Virtual Reality with AI-Enabled Techniques in Modern Sports Training. Mobile Information Systems, 2021(1), 6067678. https://doi.org/10.1155/2021/6067678

Zhen, L., Wang, L., & Hao, Z. (2015). A biomechanical analysis of basketball shooting. International Journal of Simulation: Systems, Science and Technology, 16(3B), 1.1-1.5. https://doi.org/10.5013/IJSSST.a.16.3B.01

Zrenner, M., Küderle, A., Roth, N., Jensen, U., Dümler, B., & Eskofier, B. M. (2020). Does the position of foot-mounted imu sensors influence the accuracy of spatio-temporal parameters in endurance running? Sensors (Switzer-land), 20(19), 1–21. https://doi.org/10.3390/s20195705

Zsidai, B., Hilkert, A.-S., Kaarre, J., Narup, E., Senorski, E. H., Grassi, A., … Feldt, R. (2023). A practical guide to the implementation of AI in orthopaedic research – part 1: opportunities in clinical application and overcoming ex-isting challenges. Journal of Experimental Orthopaedics, 10(1), 117. https://doi.org/10.1186/s40634-023-00683-z

Descargas

Publicado

2024-11-20

Cómo citar

Wijaya, A. ., Al Ardha, M. A., Nurhasan, N., Yang, C. B. ., Lin, R. H., & Putro, A. B. . (2024). Explorando la tendencia de la investigación y el desarrollo de la tecnología de las ciencias del deporte en las últimas 4 décadas: revisión sistemática (Exploring the research trend and development of sports science technology in the last 4 decades: systematic review). Retos, 61, 655–667. https://doi.org/10.47197/retos.v61.109306

Número

Sección

Revisiones teóricas sistemáticas y/o metaanálisis

Artículos más leídos del mismo autor/a

<< < 1 2 3 > >>