Projeto de um sistema de vídeo-árbitro assistente com tecnologia de IA para desportos coletivos usando visão por computador

Autores

  • Maigul Zhekambayeva Satbayev University, Almaty, Kazakhstan
  • Meruert Yerekesheva K. Zhubanov Aktobe Regional University, Aktobe, Kazakhstan
  • Nurmambek Ramashov South Kazakhstan State Pedagogical University, Shymkent, Kazakhstan ramashovn@mail.ru
  • Yermek Seidakhmetov Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
  • Bakhytzhan Kulambayev Turan University

DOI:

https://doi.org/10.47197/retos.v61.110300

Palavras-chave:

VAR alimentado por IA, arbitragem desportiva, visão por computador, precisão na tomada de decisões, eficiência no desporto, Kappa de Cohen, teste do qui-quadrado, testes t emparelhados, tecnologia no desporto, sistemas de arbitragem digital

Resumo

Este artigo investiga a eficácia de um sistema de Árbitro Assistente de Vídeo (VAR) baseado em inteligência artificial para melhorar a precisão, eficiência e consistência da tomada de decisões dos árbitros em desportos coletivos. Utilizando uma combinação de inteligência artificial e visão computacional, o sistema foi testado num campeonato local em Almaty, envolvendo oito equipas de futebol. Ao analisar a precisão da tomada de decisões, a eficiência do tempo e a consistência em vários cenários de arbitragem, o estudo empregou testes de qui-quadrado, testes t emparelhados e estatísticas Kappa de Cohen para avaliar quantitativamente as melhorias em relação aos sistemas VAR tradicionais. Os resultados indicaram que o sistema VAR alimentado por IA aumentou significativamente a precisão das decisões e reduziu o tempo de tomada de decisões, mantendo assim a fluidez do jogo. Embora o sistema tenha também demonstrado maior consistência nas decisões de arbitragem, destacou áreas que necessitam de maior refinamento para lidar eficazmente com situações de jogo complexas. As descobertas sugerem que a integração da IA ​​na arbitragem desportiva pode beneficiar substancialmente a justiça e a dinâmica dos desportos coletivos, desde que os avanços tecnológicos continuem a resolver as limitações atuais. Este estudo contribui para o crescente corpo de conhecimento na intersecção entre tecnologia e desporto, oferecendo uma estrutura para futuras melhorias nos sistemas de arbitragem digital.

Referências

Mohammed, A. H., Othman, Z. J., & Abdullah, A. I. (2024). The Role of Artificial Intelligence in Enhancing Sports Analytics and Training. Cihan University-Erbil Scientific Journal, 8(1), 58-62.

Joshi, R. C., Singh, N., Sharma, A. K., Burget, R., & Dutta, M. K. (2024). AI-SenseVision: A Low-Cost Artificial-Intelligence-Based Robust and Real-Time Assistance for Visually Impaired People. IEEE Transactions on Human-Machine Systems.

Mir, H., Zaraatgari, R., & Sotoudeh, R. (2021). Improving the food and agriculture sector tehran stock exchange by using artificial intelligence. Agricultural Marketing and Commercialization Journal, 5(2), 90-114.

Sætre, S. M. (2022). Laying The Foundation For an Intelligence-Powered Extendable Digital Twin Framework For Au-tonomous Sea Vessels (Master's thesis, NTNU).

Omarov, B., Omarov, N., Mamutov, Q., Kissebaev, Z., Anarbayev, A., Tastanov, A., & Yessirkepov, Z. (2024). Exami-nation of the augmented reality exercise monitoring system as an adjunct tool for prospective teacher trainers. Retos: nuevas tendencias en educación física, deporte y recreación, (58), 85-94.

LNC Prakash, K., Ravva, S. K., Rathnamma, M. V., & Suryanarayana, G. (2023). AI Applications of Drones. Drone Technology: Future Trends and Practical Applications, 153-182.

Villarrasa-Sapiña, I., Espinosa Cabezas, F., & Monfort-Torres, G. (2024). Video assistant referee on Twitter: a text-mining-based analysis of fan sentiment. Retos, 53, 91–99. https://doi.org/10.47197/retos.v53.102423

Huang, F. (2022). Design of diversified teaching platform of college aerobics course based on artificial intelligence. Journal of computational methods in sciences and engineering, 22(2), 385-397.

Doskarayev, B., Omarov, N., Omarov, B., Ismagulova, Z., Kozhamkulova, Z., Nurlybaeva, E., & Kasimova, G. (2023). Development of Computer Vision-enabled Augmented Reality Games to Increase Motivation for Sports. International Journal of Advanced Computer Science and Applications, 14(4).

Soorki, M. N., Saad, W., Bennis, M., & Hong, C. S. (2021). Ultra-reliable indoor millimeter wave communications using multiple artificial intelligence-powered intelligent surfaces. IEEE Transactions on Communications, 69(11), 7444-7457.

Altayeva, A., Omarov, B., & Im Cho, Y. (2018, January). Towards smart city platform intelligence: PI decoupling math model for temperature and humidity control. In 2018 IEEE International Conference on Big Data and Smart Compu-ting (BigComp) (pp. 693-696). IEEE.

Sun, T. (2021). Artificial intelligence powered personality assessment: A multidimensional psychometric natural lan-guage processing perspective (Doctoral dissertation, University of Illinois at Urbana-Champaign).

Okilanda, A. ., Soniawan, V., Irawan, R., Arifan, I., Batubara, R., Fadlan, A. R., Marta, I. A., Tulyakul, S., Crisari, S., Ahmed, M., & Hasan, B. (2024). Qatar 2022 World Cup Scorer Analysis. Retos, 54, 10–17. https://doi.org/10.47197/retos.v54.102213

Meyer-Waarden, L., Cloarec, J., Adams, C., Aliman, D. N., & Wirth, V. (2021). Home, sweet home: How well-being shapes the adoption of artificial intelligence-powered apartments in smart cities. Systèmes d’information et manage-ment, 26(4), 55-88.

Omarov, B., Altayeva, A., Turganbayeva, A., Abdulkarimova, G., Gusmanova, F., Sarbasova, A., ... & Omarov, N. (2019). Agent based modeling of smart grids in smart cities. In Electronic Governance and Open Society: Challenges in Eurasia: 5th International Conference, EGOSE 2018, St. Petersburg, Russia, November 14-16, 2018, Revised Se-lected Papers 5 (pp. 3-13). Springer International Publishing.

Sarker, I. H. (2024). AI-driven cybersecurity and threat intelligence: cyber automation, intelligent decision-making and explainability. Springer Nature.

Moravec, V., Hynek, N., Gavurova, B., & Kubak, M. (2024). Everyday artificial intelligence unveiled: Societal aware-ness of technological transformation. Oeconomia Copernicana, 15(2), 367-406.

Ambit, M. (2024). Artificial Intelligence Tools: Teachers' Pedagogical Adaptation in English Curriculum. Nexus Interna-tional Journal of Science and Education, 1(2).

Omarov, B., Altayeva, A., & Cho, Y. I. (2017). Smart building climate control considering indoor and outdoor parame-ters. In Computer Information Systems and Industrial Management: 16th IFIP TC8 International Conference, CISIM 2017, Bialystok, Poland, June 16-18, 2017, Proceedings 16 (pp. 412-422). Springer International Publishing.

Oravec, J. A. (2024). From Polygraphs to Truth Machines: Artificial Intelligence in Lie Detection. Critical Humanities, 2(2), 3.

Kendzierskyj, S., Jahankhani, H., & Hussien, O. A. A. M. (2024). Space Governance Frameworks and the Role of AI and Quantum Computing. In Space Governance: Challenges, Threats and Countermeasures (pp. 1-39). Cham: Springer Nature Switzerland.

Omarov, N., Omarov, B., Azhibekova, Z., & Omarov, B. (2024). Applying an augmented reality game-based learning environment in physical education classes to enhance sports motivation. Retos, 60, 269–278. https://doi.org/10.47197/retos.v60.109170

Askari, M. R., Ahmadasas, M., Shahidehpour, A., Rashid, M., Quinn, L., Park, M., & Cinar, A. (2023). Multivariable automated insulin delivery system for handling planned and spontaneous physical activities. Journal of Diabetes Sci-ence and Technology, 17(6), 1456-1469.

Jayasundara, C. C. (2022). Prediction of Marketing by the Consumer Analytics. In Big Data Analytics (pp. 77-118). Auerbach Publications.

Kim, T., Molina, M. D., Rheu, M., Zhan, E. S., & Peng, W. (2023, April). One AI does not fit all: A cluster analysis of the laypeople’s perception of AI roles. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-20).

Deutsch, M. (2023). Design, implementation and application of a software framework to assess the game experience of a video game with ML-based adapting enemies (Doctoral dissertation, University of Applied Sciences Technikum Wien).

Ghaemi, H., Jamshidi, S., Mashreghi, M., Ahmadabadi, M. N., & Kebriaei, H. (2024). Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review. arXiv preprint arXiv:2406.06041.

Luanglath, I. (2019). External Shocks and Regime Shift of ASEAN Economies. NIDA Development Journal, 59(4).

Tabagchi Milan, S., Jafari Navimipour, N., Lohi Bavil, H., & Yalcin, S. (2023). A QoS-based technique for load balancing in green cloud computing using an artificial bee colony algorithm. Journal of Experimental & Theoretical Artificial In-telligence, 1-36.

Adil, M., Khan, M. K., Kumar, N., Attique, M., Farouk, A., Guizani, M., & Jin, Z. (2024). Healthcare internet of things: Security threats, challenges and future research directions. IEEE Internet of Things Journal.

Omarov, B., Batyrbekov, A., Suliman, A., Omarov, B., Sabdenbekov, Y., & Aknazarov, S. (2020, November). Electron-ic stethoscope for detecting heart abnormalities in athletes. In 2020 21st International Arab Conference on Infor-mation Technology (ACIT) (pp. 1-5). IEEE.

George Karimpanal, T., & Bouffanais, R. (2019). Self-organizing maps for storage and transfer of knowledge in rein-forcement learning. Adaptive Behavior, 27(2), 111-126.

Luanglath, I. (2019). External Shocks and Regime Shift of ASEAN Economies. NIDA Development Journal, 59(4).

Abramov, N., Lankegowda, H., Liu, S., Barazzetti, L., Beltracchi, C., & Ruttico, P. (2024). Implementing Immersive Worlds for Metaverse-Based Participatory Design through Photogrammetry and Blockchain. ISPRS International Journal of Geo-Information, 13(6), 211.

Li, D., Zhi, B., Schoenherr, T., & Wang, X. (2023). Developing capabilities for supply chain resilience in a post-COVID world: A machine learning-based thematic analysis. IISE Transactions, 55(12), 1256-1276.

Hennig-Thurau, T., Houston, M. B., Hennig-Thurau, T., & Houston, M. B. (2019). Entertainment Communication Decisions, Episode 2:“Earned” Channels. Entertainment Science: Data Analytics and Practical Theory for Movies, Games, Books, and Music, 587-677.

Galiani, S., Gálvez, R. H., & Nachman, I. (2023). Unveiling specialization trends in economics research: A large-scale study using natural language processing and citation Analysis (No. w31295). National Bureau of Economic Research.

Talaviya, T., Shah, D., Patel, N., Yagnik, H., & Shah, M. (2020). Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides. Artificial Intelligence in Agriculture, 4, 58-73.

Divyam, A. S., Singh, B., Rai, J. N., Datta, J., Soria, F. R. C., Ravikant, U. C., ... & Mannem, K. 5th International Con-ference on Communication and Electronics Systems (ICCES 2020). Development, 125, 24.

Menges, D., Sætre, S. M., & Rasheed, A. (2023, June). Digital Twin for Autonomous Surface Vessels to Generate Situa-tional Awareness. In International Conference on Offshore Mechanics and Arctic Engineering (Vol. 86878, p. V005T06A025). American Society of Mechanical Engineers.

Zhang, J., Xiang, Y., Wang, C., & Li, L. (2021). Representing and Modeling Group Option-Generation Process. Availa-ble at SSRN 3926444.

Tursynova, A., Omarov, B., Sakhipov, A., & Tukenova, N. (2022). Brain Stroke Lesion Segmentation Using Computed Tomography Images based on Modified U-Net Model with ResNet Blocks. International Journal of Online & Biomed-ical Engineering, 18(13).

Dai, J., & Moffatt, K. (2023). Enriching social sharing for the dementia community: insights from in-person and online social programs. ACM Transactions on Accessible Computing, 16(1), 1-33.

Jones, V. (2024). for Harm Reduction Activism in. Contemporary Drug Problems, 51(2), 67-88.

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Publicado

01-12-2024

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Artigos de caráter científico: trabalhos de pesquisas básicas e/ou aplicadas.

Como Citar

Zhekambayeva, M., Yerekesheva, M., Ramashov, N., Seidakhmetov, Y., & Kulambayev, B. (2024). Projeto de um sistema de vídeo-árbitro assistente com tecnologia de IA para desportos coletivos usando visão por computador. Retos, 61, 1162-1170. https://doi.org/10.47197/retos.v61.110300