Accesso libero

Optimization of motor skill analysis and feedback based on intelligent sensing devices in track and field training

  
09 ott 2024
INFORMAZIONI SU QUESTO ARTICOLO

Cita
Scarica la copertina

Anderson, M., & Barnum, M. (2021). Foundations of athletic training: Prevention, assessment, and management. Lippincott Williams & Wilkins. Search in Google Scholar

Winterstein, A. P. (2024). Athletic training student primer: A foundation for success. Routledge. Search in Google Scholar

Granacher, U., & Borde, R. (2017). Effects of sport-specific training during the early stages of long-term athlete development on physical fitness, body composition, cognitive, and academic performances. Frontiers in physiology, 8, 810. Search in Google Scholar

Brown, K. A., Patel, D. R., & Darmawan, D. (2017). Participation in sports in relation to adolescent growth and development. Translational pediatrics, 6(3), 150. Search in Google Scholar

Genç, N. (2023). Artificial Intelligence in Physical Education and Sports: New Horizons with ChatGPT. Akdeniz Spor Bilimleri Dergisi, 6(1-Cumhuriyet’in 100. Yılı Özel Sayısı), 17-32. Search in Google Scholar

Hammes, F., Hagg, A., Asteroth, A., & Link, D. (2022). Artificial intelligence in elite sports—a narrative review of success stories and challenges. Frontiers in Sports and Active Living, 4, 861466. Search in Google Scholar

Mirmomeni, M., Fazio, T., von Cavallar, S., & Harrer, S. (2021). From wearables to THINKables: artificial intelligence-enabled sensors for health monitoring. In Wearable Sensors (pp. 339-356). Academic Press. Search in Google Scholar

Molavian, R., Fatahi, A., Abbasi, H., & Khezri, D. (2023). Artificial intelligence approach in biomechanics of gait and sport: a systematic literature review. Journal of Biomedical Physics & Engineering, 13(5), 383. Search in Google Scholar

Luczak, T., Burch, R., Lewis, E., Chander, H., & Ball, J. (2020). State-of-the-art review of athletic wearable technology: What 113 strength and conditioning coaches and athletic trainers from the USA said about technology in sports. International Journal of Sports Science & Coaching, 15(1), 26-40. Search in Google Scholar

Adesida, Y., Papi, E., & McGregor, A. H. (2019). Exploring the role of wearable technology in sport kinematics and kinetics: A systematic review. Sensors, 19(7), 1597. Search in Google Scholar

Xu, M., Liu, D., & Zhang, Y. (2022). Design of interactive teaching system of physical training based on artificial intelligence. Journal of Information & Knowledge Management, 21(Supp02), 2240021. Search in Google Scholar

Wang, L. (2023). Analysis of sports training and load forecasting using an improved artificial neural network. Soft Computing, 27(19), 14515-14527. Search in Google Scholar

Zhang, H., Chai, J., & Li, C. (2024). On innovative strategies of youth sports teaching and training based on the internet of things and artificial intelligence technology from the perspective of humanism. Learning and Motivation, 86, 101969. Search in Google Scholar

Rana, M., & Mittal, V. (2020). Wearable sensors for real-time kinematics analysis in sports: A review. IEEE Sensors Journal, 21(2), 1187-1207. Search in Google Scholar

Song, B., & Tuo, P. (2022). Application of Artificial Intelligence and Virtual Reality Technology in the Rehabilitation Training of Track and Field Athletes. Wireless Communications and Mobile Computing, 2022(1), 9828199. Search in Google Scholar

Zhu, L. (2021). Computer Vision‐Driven Evaluation System for Assisted Decision‐Making in Sports Training. Wireless Communications and Mobile Computing, 2021(1), 1865538. Search in Google Scholar

Bodemer, O. (2023). Enhancing Individual Sports Training through Artificial Intelligence: A Comprehensive Review. Authorea Preprints. Search in Google Scholar

Lin, L., & Wang, P. (2024). Artificial Intelligence-Assisted Training and Skill Enhancement Strategies for Athletes. Applied Mathematics and Nonlinear Sciences, 9(1). Search in Google Scholar

Youqi Zhang,Rui Hao,Jarkko Niiranen,Yaohua Yang,Eugen Brühwiler,Di Su & Tomonori Nagayama. (2024). Computational engine for finite element digital twins of structural dynamics via motion data. Engineering Structures118630-118630. Search in Google Scholar

Feng Guo,Xinning Lv,Jianglin Gu & Yanlin Wu. (2024). The Use of Weighted Euclidean Distance to Provide Assistance in the Selection of Safety Risk Prevention and Control Strategies for Major Railway Projects. Buildings(5), Search in Google Scholar

Rahim Muhammad,Garg Harish,Amin Fazli,Perez-Dominguez Luis & Alkhayyat Ahmed. (2023). Improved cosine similarity and distance measures-based TOPSIS method for cubic Fermatean fuzzy sets. Alexandria Engineering Journal309-319. Search in Google Scholar

Abdullayeva Fargana J. (2021). Advanced Persistent Threat Attack Detection Method in Cloud Computing based on Autoencoder and Softmax Regression Algorithm. Array(prepublish),100067-. Search in Google Scholar

Mehmet Pekmezci & Yakup Genc. (2024). Evaluation of SSIM loss function in RIR generator GANs. Digital Signal Processing104685-104685. Search in Google Scholar

Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro