Sporda Yapay Zeka
Özet
Referanslar
Aksu, A. (2020). Spor bilimleri fakültesinde okuyan öğrencilerin sağlıklı yaşam biçimi davranışlarının belirlenmesi. Journal of Social and Humanities Sciences Research, 7(56), 2068-2072.
Akyüz, O., & Bilen, S. (2025). Üniversite öğrencilerinin bazı değişkenlere göre narsistik kişilik özellikleri ve futbolda fanatizm düzeylerinin incelenmesi. Uluslararası Sağlık, Egzersiz ve Spor Bilimleri Dergisi, 2(1).
Barris, S., & Button, C. (2008). A review of vision-based motion analysis in sport. Sports Medicine, 38(12), 1025–1043.
Bunker, R., & Thabtah, F. (2019). A machine learning framework for sport result prediction. Applied Computing and Informatics, 15(1), 27–33.
Burrell, J. (2016). How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data & Society, 3(1), 1–12.
Cardinale, M., & Varley, M. (2017). Wearable training monitoring technology. International Journal of Sports Physiology and Performance, 12(S2), S55–S62.
Carling, C., Collins, D., & McCall, A. (2018). Match officiating technology and decision-making accuracy. Journal of Sports Sciences, 36(11), 1235–1243.
Claudino, J., et al. (2019). Current approaches to monitoring load in high-level athletes. Sports Medicine, 49(3), 233–248.
Díaz, J., et al. (2021). Deep learning in musculoskeletal injury prediction. Sensors, 21(18), 6105.
Esmer, O. (2024). Sporda Yapay Zekâ Teknolojisi Kullanımı ve Sportif Performans. In: Çelebi, M. & Esmer, O. (eds.), Hareket, Sağlık ve Teknoloji: Modern Yaşamda Sporun Evrimi. Özgür Yayınları. DOI: https://doi.org/10.58830/ozgur.pub614.c2632
FIFA. (2020). Goal-line technology report.
Fister, I., Rauter, S., Yang, X., & Fister, I. Jr. (2020). Intelligent training systems in sports. Applied Sciences, 10(2), 1–20.
Fister, I., Yang, X. S., Fister, D., & Ljubic, K. (2015). Computational intelligence in sports. International Journal of Advanced Robotic Systems, 12(7), 1–12.
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1).
Floridi, L., & Taddeo, M. (2018). What is data ethics? Philosophical Transactions of the Royal Society A, 374(2083).
García, B., & Pérez, L. (2020). Social media analytics in sports organizations. Sport Management Review, 23(5), 839–851.
Gudmundsson, J., & Horton, M. (2017). Spatio-temporal analysis of team sports. ACM Computing Surveys, 50(2), 1–34.
Heinrich, M., et al. (2021). AI-based performance analytics in esports. Entertainment Computing, 37, 100393.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education. Center for Curriculum Redesign.
Holmes, W., Porayska-Pomsta, K., & du Boulay, B. (2023). Ethics of AI in schools. Springer.
Ifenthaler, D., & Yau, J. (2020). Utilising learning analytics in schools. Interactive Technology and Smart Education, 17(1), 1–14.
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning. Springer.
Jones, G., & Kerr, J. (2020). Data privacy and athlete monitoring. International Journal of Sports Science & Coaching, 15(4), 567–575.
Jones, R., & Wallace, M. (2020). Coaching, technology and expertise. Routledge.
Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260.
Jovanovic, M. (2019). Strength training manual.
Joyner, M., & Lundby, C. (2018). Performance enhancement: Ethics and athlete monitoring. The Journal of Physiology, 596(8), 1339–1350.
Kayhan, R. F., & Aksoy, Y. (2021). Spor bilimlerinde dijital dönüşüm. Spor Bilimleri Dergisi, 32(2), 145–159.
Kolbinger, O., & Lames, M. (2017). Scientific approaches to goal-line technology. International Journal of Sports Science & Coaching, 12(3), 381–389.
Kolbinger, O., & Lames, M. (2021). Video assistant referees: Advantages and limitations. International Journal of Sports Science & Coaching, 16(2), 569–578.
Kos, A., & Umek, A. (2018). Wearable sensor systems for sport and health. Sensors, 18(2), 1–20.
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521, 436–444.
Li, X., Zhao, B., Liu, Q., & Luo, Y. (2020). Deep learning-based sports video analysis. IEEE Access, 8, 180251–180264.
Liu, G., et al. (2020). Machine learning for athlete monitoring. Journal of Sports Analytics, 6(4), 245–260.
Liu, H., Hopkins, W., Gómez, M. A., & Molinuevo, J. S. (2020). Automation in sports analytics. Journal of Sports Analytics, 6(1), 1–12.
Loland, S. (2022). Sport and human values in a technological age. Journal of the Philosophy of Sport, 49(1), 45–59.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
Manoli, A. E. (2020). Digital transformation and fan engagement. European Sport Management Quarterly, 20(1), 1–19.
Memmert, D., & Raabe, D. (2018). Data analytics in football: Positional data collection, modelling and analysis. Routledge.
Miah, A. (2021). Ethics of artificial intelligence in sports. AI & Society, 36(1), 231–240.
Mitchell, M. (2019). Artificial intelligence: A guide for thinking humans.
Morgan, W. (2020). Technology, data and the integrity of sport. Ethics & Sport, 23(2), 189–205.
Mousavi Hondori, H., & Khademi, M. (2014). A review on technical and clinical impact of Microsoft Kinect on physical therapy. Journal of Medical Engineering, 2014, 846514.
Murphy, C., et al. (2022). Computer vision applications in sports performance. Sports Engineering, 25(3), 1–12.
Pappalardo, L., et al. (2019). A public data set of spatio-temporal match events in soccer. Scientific Data, 6, 1–15.
Pedraza, J., García-Salmerón, J., & Camacho, D. (2021). Automatic analysis of sports videos using computer vision. Pattern Recognition Letters, 150, 26–33.
Pinto, A., & Azevedo, A. (2021). Artificial intelligence in sports performance. International Journal of Sports Science, 11(2), 45–56.
Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of AI on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 1–13.
Provost, F., & Fawcett, T. (2013). Data science for business. O’Reilly.
Pwc Sports Survey. (2022). Sports outlook report.
Raabe, D., & Memmert, D. (2018). Sport analytics and coaching. Routledge.
Rice, S., Winter, C., & Ward, K. (2022). The democratization of AI in amateur sports. Sports Technology, 14(2), 95–108.
Rossi, A., et al. (2018). Risk prediction models for sport injuries. BMJ Open Sport & Exercise Medicine, 4(1), e000464.
Rossi, A., Pappalardo, L., & Cintia, P. (2018). A machine learning approach to injury prediction in football. MLDM Conference Proceedings, 183–194.
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
Samuel, A. (1959). Some studies in machine learning using the game of checkers. IBM Journal of Research and Development, 3(3), 210–229.
Sánchez-Herrera, A., García-González, L., González-Víllora, S., & Valero-Valenzuela, A. (2023). AI-supported learning in physical education. Education and Information Technologies, 28(4), 3891–3910.
Sarkar, S., Ghosh, S., & Banerjee, B. (2022). Computer vision approaches for sports analytics. ACM Computing Surveys, 55(4), 1–35.
Spencer, D. (2021). Ethics of AI in officiating. Journal of the Philosophy of Sport, 48(2), 145–162.
Szeliski, R. (2022). Computer vision: Algorithms and applications (2nd ed.). Springer.
Topuz, F., & Ünveren, A. (2022). Sporda yapay zekâ uygulamaları. Gazi BESBD, 27(3), 450–465.
Van Dalen, B., et al. (2021). Ethical challenges of AI in athlete monitoring. Sports Ethics, 10(1), 55–70.
Wang, T., et al. (2021). Sports big data analysis and its applications. Journal of Sports Analytics, 7(4), 225–239.
Wearable Technologies. (2020). Applications of wearables in modern sports. WT Journal, 5(2), 40–52.
Williamson, B., & Eynon, R. (2020). Algorithmic systems and educational governance. Learning, Media and Technology, 45(1), 1–5.
Windt, J., & Gabbett, T. (2018). How do training loads relate to injury? Sports Medicine, 48(2), 1–12.
Yücekaya, M. A. (2022). Beden eğitimi öğretmenlerinin Web 2.0 araçlarını kullanma yeterliliği ile uzaktan eğitim yeterlilikleri arasındaki ilişkinin incelenmesi. In A. Kızılkaya Namlı & A. Bingölbalı (Eds.), Beden Eğitimi ve Spor Araştırmaları – 2022 (pp. 95–109). Efe Akademi Yayıncılık.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of AI applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 1–27.