Tecnologías emergentes aplicadas en el deporte
El objetivo de este artículo es analizar la implementación de tecnologías emergentes en el deporte para mejorar la experiencia de atletas, entrenadores y aficionados. El mundo del deporte está en constante innovación, lo que exige un manejo eficiente de herramientas tecnológicas especializadas. Esta...
- Autores:
-
Nuñez Lazaro, Henry Eduardo
Caballero Santafe, Juan Sebastian
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad Libre
- Repositorio:
- RIU - Repositorio Institucional UniLibre
- Idioma:
- OAI Identifier:
- oai:repository.unilibre.edu.co:10901/29557
- Acceso en línea:
- https://hdl.handle.net/10901/29557
- Palabra clave:
- tecnologías emergentes
deportes
rendimiento físico
IA
biometría
emerging technologies
Sports
physical performance
AI
biometrics
Innovaciones tecnológicas
deporte
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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dc.title.spa.fl_str_mv |
Tecnologías emergentes aplicadas en el deporte |
dc.title.alternative.spa.fl_str_mv |
Emerging technologies applied in sports |
title |
Tecnologías emergentes aplicadas en el deporte |
spellingShingle |
Tecnologías emergentes aplicadas en el deporte tecnologías emergentes deportes rendimiento físico IA biometría emerging technologies Sports physical performance AI biometrics Innovaciones tecnológicas deporte |
title_short |
Tecnologías emergentes aplicadas en el deporte |
title_full |
Tecnologías emergentes aplicadas en el deporte |
title_fullStr |
Tecnologías emergentes aplicadas en el deporte |
title_full_unstemmed |
Tecnologías emergentes aplicadas en el deporte |
title_sort |
Tecnologías emergentes aplicadas en el deporte |
dc.creator.fl_str_mv |
Nuñez Lazaro, Henry Eduardo Caballero Santafe, Juan Sebastian |
dc.contributor.advisor.none.fl_str_mv |
Peñaranda Méndez, Johan Gustavo |
dc.contributor.author.none.fl_str_mv |
Nuñez Lazaro, Henry Eduardo Caballero Santafe, Juan Sebastian |
dc.subject.spa.fl_str_mv |
tecnologías emergentes deportes rendimiento físico IA biometría |
topic |
tecnologías emergentes deportes rendimiento físico IA biometría emerging technologies Sports physical performance AI biometrics Innovaciones tecnológicas deporte |
dc.subject.subjectenglish.spa.fl_str_mv |
emerging technologies Sports physical performance AI biometrics |
dc.subject.lemb.spa.fl_str_mv |
Innovaciones tecnológicas deporte |
description |
El objetivo de este artículo es analizar la implementación de tecnologías emergentes en el deporte para mejorar la experiencia de atletas, entrenadores y aficionados. El mundo del deporte está en constante innovación, lo que exige un manejo eficiente de herramientas tecnológicas especializadas. Estas tecnologías emergentes se enfocan en ayudar a los deportistas a rendir mejor en el campo de juego, optimizar los regímenes de entrenamiento y revolucionar los procesos de toma de decisiones. Mediante el uso de algoritmos de aprendizaje automático, análisis predictivos y tecnologías de visión por computadora, se pueden establecer estrategias efectivas. Para este estudio, se seleccionaron 40 artículos de bases de datos como Scopus, ScienceDirect e IEEE. Los principales hallazgos indican que las herramientas tecnológicas no solo mejoran la competitividad, sino que también ayudan a prevenir lesiones futuras. |
publishDate |
2024 |
dc.date.accessioned.none.fl_str_mv |
2024-07-25T15:04:41Z |
dc.date.available.none.fl_str_mv |
2024-07-25T15:04:41Z |
dc.date.created.none.fl_str_mv |
2024-07-19 |
dc.type.local.spa.fl_str_mv |
Tesis de Pregrado |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_7a1f |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
format |
http://purl.org/coar/resource_type/c_7a1f |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10901/29557 |
url |
https://hdl.handle.net/10901/29557 |
dc.relation.references.spa.fl_str_mv |
Adesida, Y., Papi, E., & McGregor, A. H. (2019). Exploring the role of wearable technology in sport kinematics and kinetics: A systematic review. In Sensors (Switzerland) (Vol. 19, Issue 7). MDPI AG. https://doi.org/10.3390/s19071597 ALEXANDER, W. LINDSAY. (2019). ST. PAUL AT ATHENS (CLASSIC REPRINT). FORGOTTEN BOOKS. Apostolou, K., & Tjortjis, C. (2019, July 1). Sports Analytics algorithms for performance prediction. 10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019. https://doi.org/10.1109/IISA.2019.8900754 Araújo, D., Couceiro, M., Seifert, L., Sarmento, H., & Davids, K. (2021). Artificial intelligence in sport performance analysis. In Artificial Intelligence in Sport Performance Analysis. Taylor and Francis. https://doi.org/10.4324/9781003163589 Biró, A., Cuesta-Vargas, A. I., & Szilágyi, L. (2024). AI-Assisted Fatigue and Stamina Control for Performance Sports on IMU-Generated Multivariate Times Series Datasets. Sensors, 24(1). https://doi.org/10.3390/s24010132 Calderón, R. (n.d.). Universidad La Salle Bienes comunes digitales de la Universidad La Salle Piedras angulares de la investigación forense sobre delitos económicos Programa forense de delitos económicos !e Beneficios de la Inteligencia Arti&cial en Ciberseguridad. Chen, G., & Wu, H. (2024). Optimization simulation of sports stadium training based on Ant colony algorithm and sensor network. Measurement: Sensors, 33, 101100. https://doi.org/10.1016/j.measen.2024.101100 Chen, Z., & Dai, X. (2024). Utilizing AI and IoT technologies for identifying risk factors in sports. Heliyon, 10(11). https://doi.org/10.1016/j.heliyon.2024.e32477 Chidambaram, S., Maheswaran, Y., Patel, K., Sounderajah, V., Hashimoto, D. A., Seastedt, K. P., McGregor, A. H., Markar, S. R., & Darzi, A. (2022). Using Artificial Intelligence -Enhanced Sensing and Wearable Technology in Sports Medicine and Performance Optimisation. In Sensors (Vol. 22, Issue 18). MDPI. https://doi.org/10.3390/s22186920 de Oliveira, M. S., Steffen, V., & Trojan, F. (2023). A systematic review of the literature on video assistant referees in soccer: Challenges and opportunities in sports analytics. Decision Analytics Journal, 7. https://doi.org/10.1016/j.dajour.2023.100232 Fuss, F. K. , S. A. , S. M. , & M. R. (2014). Routledge Handbook of Sports Technology and Engineering. Routledge Goel, A. (2024). IS TECHNOLOGY A COMPLEMENT OR SUBSTITUTE TO REFEREEING IN SPORTS? A REVIEW (Review study). IJSTS International Journal of Sport Technology and Science International Journal of Sports Technology and Science, 2(1), 13–23. https://www.globsportsjournal.com/ Gsangaya, M. R., Htwe, O., Selvi Naicker, A., Md Yusoff, B. A. H., Mohammad, N., Soh, E. Z. F., & Silvaraju, M. (2023). Comparison between the effect of immersive virtual reality training versus conventional rehabilitation on limb loading and functional outcomes in patients after anterior cruciate ligament reconstruction: A prospective randomized controlled trial. Asia-Pacific Journal of Sports Medicine, Arthroscopy, Rehabilitation and Technology, 34, 28–37. https://doi.org/10.1016/j.asmart.2023.09.002 Jager, E. W. H., Inganäs, O., & Lundström, I. (2000). Microrobots for micrometer-size objects in aqueous media: Potential tools for single-cell manipulation. Science, 288(5475), 2335–2338. https://doi.org/10.1126/science.288.5475.2335 Jenkins, L., & Weerasekera, R. (2022). Sport-related back injury prevention with a wearable device. Biosensors and Bioelectronics: X, 11. https://doi.org/10.1016/j.biosx.2022.100202 Khuyen, N. Q., Kiefer, R., Elhi, F., Anbarjafari, G., Martinez, J. G., & Tamm, T. (2020). A biomimetic approach to increasing soft actuator performance by friction reduction. Polymers, 12(5). https://doi.org/10.3390/POLYM12051120 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, 101054. https://doi.org/10.1016/j.measen.2024.101054 Li, Y., Kim, M., & Palkar, J. (2022). Using emerging technologies to promote creativity in education: A systematic review. International Journal of Educational Research Open, 3. https://doi.org/10.1016/j.ijedro.2022.100177 Liu, Y., & Cao, S. (2024). The analysis of aerobics intelligent fitness system for neurorobotics based on big data and machine learning. Heliyon, 10(12). https://doi.org/10.1016/j.heliyon.2024.e33191 Lopez‐barreiro, J., Alvarez‐sabucedo, L., Garcia‐soidan, J. L., & Santos‐gago, J. M. (2022). Use of Blockchain Technology in the Domain of Physical Exercise, Physical Activity, Sport, and Active Ageing: A Systematic Review. In International Journal of Environmental Research and Public Health (Vol. 19, Issue 13). MDPI. https://doi.org/10.3390/ijerph19138129 MUNIZ-PARDOS, B., ANGELOUDIS, K., GUPPY, F. M., KERAMITSOGLOU, I., SUTEHALL, S., BOSCH, A., TANISAWA, K., HOSOKAWA, Y., ASH, G. I., SCHOBERSBERGER, W., GRUNDSTEIN, A. J., CASA, D. J., MORRISSEY, M. C., YAMASAWA, F., ZELENKOVA, I., RACINAIS, S., & PITSILADIS, Y. (2021). Wearable and telemedicine innovations for Olympic events and elite sport. In Journal of Sports Medicine and Physical Fitness (Vol. 61, Issue 8, pp. 1061–1072). Edizioni Minerva Medica. https://doi.org/10.23736/S0022-4707.21.12752-5 Nguyen, H. S., & Voznak, M. (2024). A Bibliometric Analysis of Technology in Digital Health: Exploring Health Metaverse and Visualizing Emerging Healthcare Management Trends. IEEE Access, 12, 23887–23913. https://doi.org/10.1109/ACCESS.2024.3363165 Petrović, L. T., Milovanović, D., & Desbordes, M. (2015). Emerging technologies and sports events: Innovative information and communication solutions. Sport, Business and Management: An International Journal, 5(2), 175–190. https://doi.org/10.1108/SBM-06-2012-0021 Putranto, J. S., Heriyanto, J., Kenny, Achmad, S., & Kurniawan, A. (2022). Implementation of virtual reality technology for sports education and training: Systematic literature review. Procedia Computer Science, 216, 293–300. https://doi.org/10.1016/j.procs.2022.12.139 Qie, X. (2023). Feedback delay of sports intelligent learning system based on model predictive control and artificial intelligence. Measurement: Sensors, 30. https://doi.org/10.1016/j.measen.2023.100922 Qiu, Y., Liu, G., Muthu, B. A., & Sivaparthipan, C. B. (2022). Design of an energy-efficient IoT device with optimized data management in sports person health monitoring application. Transactions on Emerging Telecommunications Technologies, 33(10). https://doi.org/10.1002/ett.4258 Ramirez-GarciaLuna, J. L., Bartlett, R., Arriaga-Caballero, J. E., Fraser, R. D. J., & Saiko, G. (2022). Infrared Thermography in Wound Care, Surgery, and Sports Medicine: A Review. In Frontiers in Physiology (Vol. 13). Frontiers Media S.A. https://doi.org/10.3389/fphys.2022.838528 Roggio, F., Bianco, A., Palma, A., Ravalli, S., Maugeri, G., Rosa, M. Di, & Musumeci, G. (2021). Technological advancements in the analysis of human motion and posture management through digital devices. World Journal of Orthopedics, 12(7), 467–484. https://doi.org/10.5312/wjo.v12.i7.467 Seshadri, D. R., Magliato, S., Voos, J. E., & Drummond, C. (2019). Clinical translation of biomedical sensors for sports medicine. In Journal of Medical Engineering and Technology (Vol. 43, Issue 1, pp. 66–81). Taylor and Francis Ltd. https://doi.org/10.1080/03091902.2019.1612474 Stevens, E., Espitia, F., Santo, U., Seccional, T., Julian, T., Triana, C., Universidad, Q., Tomas, S., & Tunja, S. (2023). Tecnología Vestible para Evaluar Capacidades Físicas de Fuerza y Velocidad de Ejecución en Deportistas: Revisión Narrativa. Tenforde, A. S., Iaccarino, M. A., Borgstrom, H., Hefner, J. E., Silver, J., Ahmed, M., Babu, A. N., Blauwet, C. A., Elson, L., Eng, C., Kotler, D., Homer, S., Makovitch, S., McInnis, K. C., Vora, A., & Borg-Stein, J. (2020). Telemedicine During COVID-19 for Outpatient Sports and Musculoskeletal Medicine Physicians. PM and R, 12(9), 926–932. https://doi.org/10.1002/pmrj.12422 van Biemen, T., Müller, D., & Mann, D. L. (2023). Virtual reality as a representative training environment for football referees. Human Movement Science, 89. https://doi.org/10.1016/j.humov.2023.103091 Wang, J. (2012). Research on application of virtual reality technology in competitive sports. Procedia Engineering, 29, 3659–3662. https://doi.org/10.1016/j.proeng.2012.01.548 Wang, X., & Guo, Y. (2023). The intelligent football players’ motion recognition system based on convolutional neural network and big data. Heliyon, 9(11). https://doi.org/10.1016/j.heliyon.2023.e22316 Wei, S., Huang, P., Li, R., Liu, Z., & Zou, Y. (2021). Exploring the Application of Artificial Intelligence in Sports Training: A Case Study Approach. Complexity, 2021. https://doi.org/10.1155/2021/4658937 Yang, Y. (2024). Application of wearable devices based on artificial intelligence sensors in sports human health monitoring. Measurement: Sensors, 33, 101086. https://doi.org/10.1016/j.measen.2024.101086 Ye, S., Feng, S., Huang, L., & Bian, S. (2020). Recent Progress in Wearable Biosensors: From Healthcare Monitoring to Sports Analytics. In Biosensors (Vol. 10, Issue 12). MDPI. https://doi.org/10.3390/BIOS10120205 Yu, S. (2021). Application of Blockchain-Based Sports Health Data Collection System in the Development of Sports Industry. Mobile Information Systems, 2021. https://doi.org/10.1155/2021/4663147 Zhang, Y., Pi, Y., Wang, Q., Long, X., Wan, S., Liu, P., & Liu, Y. (2024). Application of video behavior fast detection based on wearable motion sensor devices in sports training. Measurement: Sensors, 33, 101096. https://doi.org/10.1016/j.measen.2024.101096 Zhou, L. (2021). Molecularly Imprinted Sensor based on Ag-Au NPs/SPCE for Lactate Determination in Sweat for Healthcare and Sport Monitoring. International Journal of Electrochemical Science, 16, 1–13. https://doi.org/10.20964/2021.10.54 |
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Peñaranda Méndez, Johan GustavoNuñez Lazaro, Henry EduardoCaballero Santafe, Juan SebastianCúcuta2024-07-25T15:04:41Z2024-07-25T15:04:41Z2024-07-19https://hdl.handle.net/10901/29557El objetivo de este artículo es analizar la implementación de tecnologías emergentes en el deporte para mejorar la experiencia de atletas, entrenadores y aficionados. El mundo del deporte está en constante innovación, lo que exige un manejo eficiente de herramientas tecnológicas especializadas. Estas tecnologías emergentes se enfocan en ayudar a los deportistas a rendir mejor en el campo de juego, optimizar los regímenes de entrenamiento y revolucionar los procesos de toma de decisiones. Mediante el uso de algoritmos de aprendizaje automático, análisis predictivos y tecnologías de visión por computadora, se pueden establecer estrategias efectivas. Para este estudio, se seleccionaron 40 artículos de bases de datos como Scopus, ScienceDirect e IEEE. Los principales hallazgos indican que las herramientas tecnológicas no solo mejoran la competitividad, sino que también ayudan a prevenir lesiones futuras.Universidad libre seccional cucuta -- facultad ingeneria, arquitectura, urbanismo y afines -- ingeneria en tecnologias de la informacion y las comunicacionesThe objective of this article is to analyze the implementation of emerging technologies in sports to improve the experience of athletes, coaches and fans. The world of sports is in constant innovation, which requires efficient management of specialized technological tools. These emerging technologies focus on helping athletes perform better on the field, optimize training regimens, and revolutionize decision-making processes. By using machine learning algorithms, predictive analytics, and computer vision technologies, effective strategies can be established. For this study, 40 articles were selected from databases such as Scopus, ScienceDirect and IEEE. The main findings indicate that technological tools not only improve competitiveness, but also help prevent future injuries.PDFhttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Atribución-NoComercial-SinDerivadas 2.5 Colombiainfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2tecnologías emergentesdeportesrendimiento físicoIAbiometríaemerging technologiesSportsphysical performanceAIbiometricsInnovaciones tecnológicasdeporteTecnologías emergentes aplicadas en el deporteEmerging technologies applied in sportsTesis de Pregradohttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/bachelorThesisAdesida, Y., Papi, E., & McGregor, A. H. (2019). Exploring the role of wearable technology in sport kinematics and kinetics: A systematic review. In Sensors (Switzerland) (Vol. 19, Issue 7). MDPI AG. https://doi.org/10.3390/s19071597ALEXANDER, W. LINDSAY. (2019). ST. PAUL AT ATHENS (CLASSIC REPRINT). FORGOTTEN BOOKS.Apostolou, K., & Tjortjis, C. (2019, July 1). Sports Analytics algorithms for performance prediction. 10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019. https://doi.org/10.1109/IISA.2019.8900754Araújo, D., Couceiro, M., Seifert, L., Sarmento, H., & Davids, K. (2021). Artificial intelligence in sport performance analysis. In Artificial Intelligence in Sport Performance Analysis. Taylor and Francis. https://doi.org/10.4324/9781003163589Biró, A., Cuesta-Vargas, A. I., & Szilágyi, L. (2024). AI-Assisted Fatigue and Stamina Control for Performance Sports on IMU-Generated Multivariate Times Series Datasets. Sensors, 24(1). https://doi.org/10.3390/s24010132Calderón, R. (n.d.). Universidad La Salle Bienes comunes digitales de la Universidad La Salle Piedras angulares de la investigación forense sobre delitos económicos Programa forense de delitos económicos !e Beneficios de la Inteligencia Arti&cial en Ciberseguridad.Chen, G., & Wu, H. (2024). Optimization simulation of sports stadium training based on Ant colony algorithm and sensor network. Measurement: Sensors, 33, 101100. https://doi.org/10.1016/j.measen.2024.101100Chen, Z., & Dai, X. (2024). Utilizing AI and IoT technologies for identifying risk factors in sports. Heliyon, 10(11). https://doi.org/10.1016/j.heliyon.2024.e32477Chidambaram, S., Maheswaran, Y., Patel, K., Sounderajah, V., Hashimoto, D. A., Seastedt, K. P., McGregor, A. H., Markar, S. R., & Darzi, A. (2022). Using Artificial Intelligence -Enhanced Sensing and Wearable Technology in Sports Medicine and Performance Optimisation. In Sensors (Vol. 22, Issue 18). MDPI. https://doi.org/10.3390/s22186920de Oliveira, M. S., Steffen, V., & Trojan, F. (2023). A systematic review of the literature on video assistant referees in soccer: Challenges and opportunities in sports analytics. Decision Analytics Journal, 7. https://doi.org/10.1016/j.dajour.2023.100232Fuss, F. K. , S. A. , S. M. , & M. R. (2014). Routledge Handbook of Sports Technology and Engineering. RoutledgeGoel, A. (2024). IS TECHNOLOGY A COMPLEMENT OR SUBSTITUTE TO REFEREEING IN SPORTS? A REVIEW (Review study). IJSTS International Journal of Sport Technology and Science International Journal of Sports Technology and Science, 2(1), 13–23. https://www.globsportsjournal.com/Gsangaya, M. R., Htwe, O., Selvi Naicker, A., Md Yusoff, B. A. H., Mohammad, N., Soh, E. Z. F., & Silvaraju, M. (2023). Comparison between the effect of immersive virtual reality training versus conventional rehabilitation on limb loading and functional outcomes in patients after anterior cruciate ligament reconstruction: A prospective randomized controlled trial. Asia-Pacific Journal of Sports Medicine, Arthroscopy, Rehabilitation and Technology, 34, 28–37. https://doi.org/10.1016/j.asmart.2023.09.002Jager, E. W. H., Inganäs, O., & Lundström, I. (2000). Microrobots for micrometer-size objects in aqueous media: Potential tools for single-cell manipulation. Science, 288(5475), 2335–2338. https://doi.org/10.1126/science.288.5475.2335Jenkins, L., & Weerasekera, R. (2022). Sport-related back injury prevention with a wearable device. Biosensors and Bioelectronics: X, 11. https://doi.org/10.1016/j.biosx.2022.100202Khuyen, N. Q., Kiefer, R., Elhi, F., Anbarjafari, G., Martinez, J. G., & Tamm, T. (2020). A biomimetic approach to increasing soft actuator performance by friction reduction. Polymers, 12(5). https://doi.org/10.3390/POLYM12051120Kovoor, 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, 101054. https://doi.org/10.1016/j.measen.2024.101054Li, Y., Kim, M., & Palkar, J. (2022). Using emerging technologies to promote creativity in education: A systematic review. International Journal of Educational Research Open, 3. https://doi.org/10.1016/j.ijedro.2022.100177Liu, Y., & Cao, S. (2024). The analysis of aerobics intelligent fitness system for neurorobotics based on big data and machine learning. Heliyon, 10(12). https://doi.org/10.1016/j.heliyon.2024.e33191Lopez‐barreiro, J., Alvarez‐sabucedo, L., Garcia‐soidan, J. L., & Santos‐gago, J. M. (2022). Use of Blockchain Technology in the Domain of Physical Exercise, Physical Activity, Sport, and Active Ageing: A Systematic Review. In International Journal of Environmental Research and Public Health (Vol. 19, Issue 13). MDPI. https://doi.org/10.3390/ijerph19138129MUNIZ-PARDOS, B., ANGELOUDIS, K., GUPPY, F. M., KERAMITSOGLOU, I., SUTEHALL, S., BOSCH, A., TANISAWA, K., HOSOKAWA, Y., ASH, G. I., SCHOBERSBERGER, W., GRUNDSTEIN, A. J., CASA, D. J., MORRISSEY, M. C., YAMASAWA, F., ZELENKOVA, I., RACINAIS, S., & PITSILADIS, Y. (2021). Wearable and telemedicine innovations for Olympic events and elite sport. In Journal of Sports Medicine and Physical Fitness (Vol. 61, Issue 8, pp. 1061–1072). Edizioni Minerva Medica. https://doi.org/10.23736/S0022-4707.21.12752-5Nguyen, H. S., & Voznak, M. (2024). A Bibliometric Analysis of Technology in Digital Health: Exploring Health Metaverse and Visualizing Emerging Healthcare Management Trends. IEEE Access, 12, 23887–23913. https://doi.org/10.1109/ACCESS.2024.3363165Petrović, L. T., Milovanović, D., & Desbordes, M. (2015). Emerging technologies and sports events: Innovative information and communication solutions. Sport, Business and Management: An International Journal, 5(2), 175–190. https://doi.org/10.1108/SBM-06-2012-0021Putranto, J. S., Heriyanto, J., Kenny, Achmad, S., & Kurniawan, A. (2022). Implementation of virtual reality technology for sports education and training: Systematic literature review. Procedia Computer Science, 216, 293–300. https://doi.org/10.1016/j.procs.2022.12.139Qie, X. (2023). Feedback delay of sports intelligent learning system based on model predictive control and artificial intelligence. Measurement: Sensors, 30. https://doi.org/10.1016/j.measen.2023.100922Qiu, Y., Liu, G., Muthu, B. A., & Sivaparthipan, C. B. (2022). Design of an energy-efficient IoT device with optimized data management in sports person health monitoring application. Transactions on Emerging Telecommunications Technologies, 33(10). https://doi.org/10.1002/ett.4258Ramirez-GarciaLuna, J. L., Bartlett, R., Arriaga-Caballero, J. E., Fraser, R. D. J., & Saiko, G. (2022). Infrared Thermography in Wound Care, Surgery, and Sports Medicine: A Review. In Frontiers in Physiology (Vol. 13). Frontiers Media S.A. https://doi.org/10.3389/fphys.2022.838528Roggio, F., Bianco, A., Palma, A., Ravalli, S., Maugeri, G., Rosa, M. Di, & Musumeci, G. (2021). Technological advancements in the analysis of human motion and posture management through digital devices. World Journal of Orthopedics, 12(7), 467–484. https://doi.org/10.5312/wjo.v12.i7.467Seshadri, D. R., Magliato, S., Voos, J. E., & Drummond, C. (2019). Clinical translation of biomedical sensors for sports medicine. In Journal of Medical Engineering and Technology (Vol. 43, Issue 1, pp. 66–81). Taylor and Francis Ltd. https://doi.org/10.1080/03091902.2019.1612474Stevens, E., Espitia, F., Santo, U., Seccional, T., Julian, T., Triana, C., Universidad, Q., Tomas, S., & Tunja, S. (2023). Tecnología Vestible para Evaluar Capacidades Físicas de Fuerza y Velocidad de Ejecución en Deportistas: Revisión Narrativa.Tenforde, A. S., Iaccarino, M. A., Borgstrom, H., Hefner, J. E., Silver, J., Ahmed, M., Babu, A. N., Blauwet, C. A., Elson, L., Eng, C., Kotler, D., Homer, S., Makovitch, S., McInnis, K. C., Vora, A., & Borg-Stein, J. (2020). Telemedicine During COVID-19 for Outpatient Sports and Musculoskeletal Medicine Physicians. PM and R, 12(9), 926–932. https://doi.org/10.1002/pmrj.12422van Biemen, T., Müller, D., & Mann, D. L. (2023). Virtual reality as a representative training environment for football referees. Human Movement Science, 89. https://doi.org/10.1016/j.humov.2023.103091Wang, J. (2012). Research on application of virtual reality technology in competitive sports. Procedia Engineering, 29, 3659–3662. https://doi.org/10.1016/j.proeng.2012.01.548Wang, X., & Guo, Y. (2023). The intelligent football players’ motion recognition system based on convolutional neural network and big data. Heliyon, 9(11). https://doi.org/10.1016/j.heliyon.2023.e22316Wei, S., Huang, P., Li, R., Liu, Z., & Zou, Y. (2021). Exploring the Application of Artificial Intelligence in Sports Training: A Case Study Approach. Complexity, 2021. https://doi.org/10.1155/2021/4658937Yang, Y. (2024). Application of wearable devices based on artificial intelligence sensors in sports human health monitoring. Measurement: Sensors, 33, 101086. https://doi.org/10.1016/j.measen.2024.101086Ye, S., Feng, S., Huang, L., & Bian, S. (2020). Recent Progress in Wearable Biosensors: From Healthcare Monitoring to Sports Analytics. In Biosensors (Vol. 10, Issue 12). MDPI. https://doi.org/10.3390/BIOS10120205Yu, S. (2021). Application of Blockchain-Based Sports Health Data Collection System in the Development of Sports Industry. Mobile Information Systems, 2021. https://doi.org/10.1155/2021/4663147Zhang, Y., Pi, Y., Wang, Q., Long, X., Wan, S., Liu, P., & Liu, Y. (2024). Application of video behavior fast detection based on wearable motion sensor devices in sports training. Measurement: Sensors, 33, 101096. https://doi.org/10.1016/j.measen.2024.101096Zhou, L. (2021). Molecularly Imprinted Sensor based on Ag-Au NPs/SPCE for Lactate Determination in Sweat for Healthcare and Sport Monitoring. 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