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...

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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
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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
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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
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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
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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
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spelling 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. 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