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The Effect of Artificial Intelligence-Supported Mobile Applications on Prevention of Sports Injuries

Year 2024, Volume: 4 Issue: 2, 74 - 92, 30.12.2024

Abstract

Injuries in sports activities can negatively affect performance and lead to serious health problems that can last for a very long time. So, the management and prevention of sports injuries have become one of the primary goals of physical education teachers, conditioners, and coaches. Artificial intelligence (AI)-enabled mobile apps to identify potential injury risks in sporting activities by monitoring essential factors such as the correct execution angles of movements and joints, fatigue levels of athletes, sleep quality, dietary habits, and body mechanics. Moreover, these applications provide a faster and more effective recovery in post-injury treatment. In this context, this study aims to examine the impact of AI-supported mobile applications on sports injury prevention. This study conducted a literature review on some of the applications used in sports injuries and performance monitoring of athletes. For this purpose, applications such as “Physitrack”, “MyFitnessPal”, “FitrWoman”, “Fitbod”, “Strava” and “Fitplan” were examined in detail. The results show that these AI-supported applications used by physical education teachers, athletes, coaches, and conditioners can potentially reduce the risk of injury, optimize performance, and improve overall health.

References

  • Avcı, P., & Bayrakdar, A. (2023). Revolutionizing sport-how technology is changing the sports industry?. The Use of Developing Technology in Sports, 3-13.
  • Barlow, A., Blodgett, J., Williams, S., Pedlar, C. R., & Bruinvels, G. (2024). Injury incidence, severity and type across the menstrual cycle in female footballers: A prospective three season cohort study. Medicine & Science in Sports & Exercise, 56(6), 1151-1158.
  • Claudino, J. G., Capanema, D. D. O., de Souza, T. V., Serrão, J. C., Machado Pereira, A. C., & Nassis, G. P. (2019). Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review. Sports Medicine-Open, 5(28), 1-12.
  • Corban, J., Lorange, J. P., Laverdiere, C., Khoury, J., Rachevsky, G., Burman, M., & Martineau, P. A. (2021). Artificial ıntelligence in the management of anterior cruciate ligament ınjuries. Orthopaedic Journal of Sports Medicine, 9(7), 1-11.
  • FitrWoman (2024). https://apps.apple.com/us/app/fitrwoman/id1189050449 adresinden 4 Mayıs 2024 tarihinde alınmıştır.
  • Fitbod (2024). https://apps.apple.com/us/app/fitbod-workout-gym-planner/id1041517543 adresinden 4 Mayıs 2024 tarihinde alınmıştır.
  • Fitplan (2024). https://apps.apple.com/us/app/fitplan-gym-home-workouts/id1064119547 adresinden 4 Mayıs 2024 tarihinde alınmıştır.
  • Gençoğlu, C., & Asan, S. (2023). Dijital çağda sporcu beslenmesi ve yapay zeka. Dijital Çağda Spor Araştırmaları I, 91-100.
  • Johnson, R. W., Williams, S. A., Gucciardi, D. F., Bear, N., & Gibson, N. (2020). Can an online exercise prescription tool improve adherence to home exercise programmes in children with cerebral palsy and other neurodevelopmental disabilities? A randomised controlled trial. BMJ Open, 10(12), 1-10.
  • Kakavas, G., Malliaropoulos, N., Pruna, R., & Maffulli, N. (2020). Artificial intelligence: a tool for sports trauma prediction. Injury, 51, 63-65.
  • Kemler, E., Romeijn, K., Vriend, I., & Huisstede, B. (2018). The relationship between the use of running applications and running-related injuries. The Physician and Sportsmedicine, 46(1), 73-77.
  • Li, B., & Xu, X. (2021). Application of artificial intelligence in basketball sport. Journal of Education, Health and Sport, 11(7), 54-67.
  • MyFitnessPal (2024). https://apps.apple.com/tr/app/myfitnesspal-calorie-counter/id341232718 adresinden 4 Mayıs 2024 tarihinde alınmıştır.
  • Meriçelli, M., & İncetaş, M. O. (2023). Artificial intelligence & sports. The Use of Developing Technology in Sports, 1-13.
  • Milanko, S., & Jain, S. (2020). Lift Right: Quantifying strength training performance using a wearable sensor. Smart Health, 16, 1-14.
  • Mori, K., Prado, C. M., Le, C. Y., & Whittaker, J. L. (2020). Dietary intake in youth with a sport-related knee injury-implications for secondary prevention of post-traumatic osteoarthritis. Osteoarthritis and Cartilage, 28, 391-392.
  • Pareek, A., Ro, D. H., Karlsson, J., & Martin, R. K. (2024). Machine learning/artificial ıntelligence in sports medicine: state of the art and future directions. Journal of ISAKOS: Joint Disorders & Orthopaedic Sports Medicine, 1-35.
  • Physitrack (2024). https://apps.apple.com/tr/app/physitrack/id988774136?l=tr adresinden 4 Mayıs 2024 tarihinde alınmıştır.
  • Ramkumar, P. N., Luu, B. C., Haeberle, H. S., Karnuta, J. M., Nwachukwu, B. U., & Williams, R. J. (2022). Sports medicine and artificial intelligence: a primer. The American Journal of Sports Medicine, 50(4), 1166-1174.
  • Rigamonti, L., Estel, K., Gehlen, T., Wolfarth, B., Lawrence, J. B., & Back, D. A. (2021). Use of artificial intelligence in sports medicine: a report of 5 fictional cases. BMC Sports Science, Medicine and Rehabilitation, 13(13), 1-7.
  • Shei, R. J. (2018). Competitive influences of running applications on training habits. The Physician and Sportsmedicine, 46(4), 414-415.
  • Sommerfield, L. M., Harrison, C. B., Whatman, C. S., & Maulder, P. S. (2020). A prospective study of sport injuries in youth females. Physical Therapy in Sport, 44, 24-32.
  • Strava (2024). https://apps.apple.com/us/app/strava-run-bike-hike/id426826309 adresinden 4 Mayıs 2024 tarihinde alınmıştır.
  • Toresdahl, B., Quijano, B., & Fontana, M. A. (2024). 714 FO46–Predicting injury using strava data of runners training for the New York City Marathon, British Journal of Sports Medicine 2024(58), 24-25.
  • Wakabayashi, A. (2023). The correlation between three-mile runners' intake of macronutrients and their performance. Journal of Student Research, 12(3), 1-11.
  • Wang, W. (2021). Artificial intelligence in repairing meniscus injury in football sports with perovskite nanobiomaterials. Journal of Healthcare Engineering, 2023, 1-11
  • Wang, T., Gan, Y., Arena, S. D., Chitkushev, L. T., Zhang, G., & Rawassizadeh, R. (2021). Advances for indoor fitness tracking, coaching, and motivation: A review of existing technological advances. IEEE Systems, Man, and Cybernetics Magazine, 7(1), 4-14.
  • Van Eetvelde, H., Mendonça, L. D., Ley, C., Seil, R., & Tischer, T. (2021). Machine learning methods in sport injury prediction and prevention: a systematic review. Journal of Experimental Orthopaedics, 2021(8), 1-15.
  • Yermolenko, I. (2024). Using AI for fitness development. Věda a Perspektivy, 4 (35), 347-353.
  • Zhao, Z., Liu, X., & She, X. (2021). Artificial intelligence based tracking model for functional sports training goals in competitive sports. Journal of Intelligent & Fuzzy Systems, 40(2), 3347-3359.

Yapay Zekâ Destekli Mobil Uygulamaların Spor Sakatlanmalarının Önlenmesinde Etkisi

Year 2024, Volume: 4 Issue: 2, 74 - 92, 30.12.2024

Abstract

Spor aktivitelerinde oluşan sakatlanmalar, performansı olumsuz etkileyebilmekte ve çok uzun sürebilen ciddi sağlık sorunlarına yol açabilmektedir. Bu nedenle, spor sakatlanmalarının yönetimi ve önlenmesi, beden eğitimi öğretmenlerinin, kondisyonerlerin ve antrenörlerin öncelikli hedeflerinden biri olmuştur. Yapay zekâ (YZ) destekli mobil uygulamalar, hareketlerin ve eklemlerin doğru uygulama açıları, sporcuların yorgunluk seviyeleri, uyku kalitesi, beslenme alışkanlıkları ve vücut mekaniği gibi önemli faktörleri izleyerek sportif aktivitelerde potansiyel sakatlanma risklerini belirlemektedir. Dahası, bu uygulamalar, sakatlık sonrası tedavide daha hızlı ve etkili bir iyileşme imkânı sağlamaktadır. Bu bağlamda çalışmanın amacı; YZ destekli mobil uygulamaların spor sakatlanmalarının önlenmesindeki etkisini incelemektir. Bu çalışmada, sporcu sakatlanmalarında ve sporcuların performans takibi vb. konularda kullandıkları bazı uygulamalar hakkında literatür taraması yapılmıştır. Bu amaçla, “Physitrack”, “MyFitnessPal”, “FitrWoman”, “Fitbod”, “Strava” ve “Fitplan” gibi uygulamalar detaylı incelemiştir. Sonuçlar, beden eğitimi öğretmenleri, sporcular, antrenörler ve kondisyonerler tarafından kullanılan YZ destekli bu uygulamaların, sakatlık riskini azaltma, performansı optimize etme ve genel sağlığı geliştirme potansiyeline sahip olduğunu göstermektedir.

References

  • Avcı, P., & Bayrakdar, A. (2023). Revolutionizing sport-how technology is changing the sports industry?. The Use of Developing Technology in Sports, 3-13.
  • Barlow, A., Blodgett, J., Williams, S., Pedlar, C. R., & Bruinvels, G. (2024). Injury incidence, severity and type across the menstrual cycle in female footballers: A prospective three season cohort study. Medicine & Science in Sports & Exercise, 56(6), 1151-1158.
  • Claudino, J. G., Capanema, D. D. O., de Souza, T. V., Serrão, J. C., Machado Pereira, A. C., & Nassis, G. P. (2019). Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review. Sports Medicine-Open, 5(28), 1-12.
  • Corban, J., Lorange, J. P., Laverdiere, C., Khoury, J., Rachevsky, G., Burman, M., & Martineau, P. A. (2021). Artificial ıntelligence in the management of anterior cruciate ligament ınjuries. Orthopaedic Journal of Sports Medicine, 9(7), 1-11.
  • FitrWoman (2024). https://apps.apple.com/us/app/fitrwoman/id1189050449 adresinden 4 Mayıs 2024 tarihinde alınmıştır.
  • Fitbod (2024). https://apps.apple.com/us/app/fitbod-workout-gym-planner/id1041517543 adresinden 4 Mayıs 2024 tarihinde alınmıştır.
  • Fitplan (2024). https://apps.apple.com/us/app/fitplan-gym-home-workouts/id1064119547 adresinden 4 Mayıs 2024 tarihinde alınmıştır.
  • Gençoğlu, C., & Asan, S. (2023). Dijital çağda sporcu beslenmesi ve yapay zeka. Dijital Çağda Spor Araştırmaları I, 91-100.
  • Johnson, R. W., Williams, S. A., Gucciardi, D. F., Bear, N., & Gibson, N. (2020). Can an online exercise prescription tool improve adherence to home exercise programmes in children with cerebral palsy and other neurodevelopmental disabilities? A randomised controlled trial. BMJ Open, 10(12), 1-10.
  • Kakavas, G., Malliaropoulos, N., Pruna, R., & Maffulli, N. (2020). Artificial intelligence: a tool for sports trauma prediction. Injury, 51, 63-65.
  • Kemler, E., Romeijn, K., Vriend, I., & Huisstede, B. (2018). The relationship between the use of running applications and running-related injuries. The Physician and Sportsmedicine, 46(1), 73-77.
  • Li, B., & Xu, X. (2021). Application of artificial intelligence in basketball sport. Journal of Education, Health and Sport, 11(7), 54-67.
  • MyFitnessPal (2024). https://apps.apple.com/tr/app/myfitnesspal-calorie-counter/id341232718 adresinden 4 Mayıs 2024 tarihinde alınmıştır.
  • Meriçelli, M., & İncetaş, M. O. (2023). Artificial intelligence & sports. The Use of Developing Technology in Sports, 1-13.
  • Milanko, S., & Jain, S. (2020). Lift Right: Quantifying strength training performance using a wearable sensor. Smart Health, 16, 1-14.
  • Mori, K., Prado, C. M., Le, C. Y., & Whittaker, J. L. (2020). Dietary intake in youth with a sport-related knee injury-implications for secondary prevention of post-traumatic osteoarthritis. Osteoarthritis and Cartilage, 28, 391-392.
  • Pareek, A., Ro, D. H., Karlsson, J., & Martin, R. K. (2024). Machine learning/artificial ıntelligence in sports medicine: state of the art and future directions. Journal of ISAKOS: Joint Disorders & Orthopaedic Sports Medicine, 1-35.
  • Physitrack (2024). https://apps.apple.com/tr/app/physitrack/id988774136?l=tr adresinden 4 Mayıs 2024 tarihinde alınmıştır.
  • Ramkumar, P. N., Luu, B. C., Haeberle, H. S., Karnuta, J. M., Nwachukwu, B. U., & Williams, R. J. (2022). Sports medicine and artificial intelligence: a primer. The American Journal of Sports Medicine, 50(4), 1166-1174.
  • Rigamonti, L., Estel, K., Gehlen, T., Wolfarth, B., Lawrence, J. B., & Back, D. A. (2021). Use of artificial intelligence in sports medicine: a report of 5 fictional cases. BMC Sports Science, Medicine and Rehabilitation, 13(13), 1-7.
  • Shei, R. J. (2018). Competitive influences of running applications on training habits. The Physician and Sportsmedicine, 46(4), 414-415.
  • Sommerfield, L. M., Harrison, C. B., Whatman, C. S., & Maulder, P. S. (2020). A prospective study of sport injuries in youth females. Physical Therapy in Sport, 44, 24-32.
  • Strava (2024). https://apps.apple.com/us/app/strava-run-bike-hike/id426826309 adresinden 4 Mayıs 2024 tarihinde alınmıştır.
  • Toresdahl, B., Quijano, B., & Fontana, M. A. (2024). 714 FO46–Predicting injury using strava data of runners training for the New York City Marathon, British Journal of Sports Medicine 2024(58), 24-25.
  • Wakabayashi, A. (2023). The correlation between three-mile runners' intake of macronutrients and their performance. Journal of Student Research, 12(3), 1-11.
  • Wang, W. (2021). Artificial intelligence in repairing meniscus injury in football sports with perovskite nanobiomaterials. Journal of Healthcare Engineering, 2023, 1-11
  • Wang, T., Gan, Y., Arena, S. D., Chitkushev, L. T., Zhang, G., & Rawassizadeh, R. (2021). Advances for indoor fitness tracking, coaching, and motivation: A review of existing technological advances. IEEE Systems, Man, and Cybernetics Magazine, 7(1), 4-14.
  • Van Eetvelde, H., Mendonça, L. D., Ley, C., Seil, R., & Tischer, T. (2021). Machine learning methods in sport injury prediction and prevention: a systematic review. Journal of Experimental Orthopaedics, 2021(8), 1-15.
  • Yermolenko, I. (2024). Using AI for fitness development. Věda a Perspektivy, 4 (35), 347-353.
  • Zhao, Z., Liu, X., & She, X. (2021). Artificial intelligence based tracking model for functional sports training goals in competitive sports. Journal of Intelligent & Fuzzy Systems, 40(2), 3347-3359.
There are 30 citations in total.

Details

Primary Language Turkish
Subjects Sports Training, Exercise Physiology, Physical Activity and Health, Movement Education in Sports Science
Journal Section Reviews
Authors

Muhammed Öniz 0000-0002-1516-3449

İshak Göçer 0000-0002-2337-2240

Early Pub Date December 27, 2024
Publication Date December 30, 2024
Submission Date August 9, 2024
Acceptance Date December 22, 2024
Published in Issue Year 2024 Volume: 4 Issue: 2

Cite

APA Öniz, M., & Göçer, İ. (2024). Yapay Zekâ Destekli Mobil Uygulamaların Spor Sakatlanmalarının Önlenmesinde Etkisi. Egzersiz Ve Spor Bilimleri Araştırmaları Dergisi, 4(2), 74-92.