Uneingeschränkter Zugang

Research on the application of data analysis technology and the mechanism of teaching effectiveness enhancement in sports training in colleges and universities

  
18. Nov. 2024

Zitieren
COVER HERUNTERLADEN

Cust, E. E., Sweeting, A. J., Ball, K., & Robertson, S. (2019). Machine and deep learning for sport-specific movement recognition: A systematic review of model development and performance. Journal of sports sciences, 37(5), 568-600. Search in Google Scholar

Khasanshin, I. (2021). Application of an artificial neural network to automate the measurement of kinematic characteristics of punches in boxing. Applied Sciences, 11(3), 1223. Search in Google Scholar

Li, X., Chen, X., Guo, L., & Rochester, C. A. (2022). Application of big data analysis techniques in sports training and physical fitness analysis. Wireless Communications and Mobile Computing, 2022(1), 3741087. Search in Google Scholar

Barbon Junior, S., Pinto, A., Barroso, J. V., Caetano, F. G., Moura, F. A., Cunha, S. A., & Torres, R. D. S. (2022). Sport action mining: Dribbling recognition in soccer. Multimedia Tools and Applications, 81(3), 4341-4364. Search in Google Scholar

Yuan, B., Kamruzzaman, M. M., & Shan, S. (2021). Application of motion sensor based on neural network in basketball technology and physical fitness evaluation system. Wireless Communications and Mobile Computing, 2021(1), 5562954. Search in Google Scholar

Zhou, H., & Daud, D. M. B. A. (2024). Ensuring athlete physical fitness using Cyber-Physical Systems (CPS) in training environments. Technology and Health Care, (Preprint), 1-20. Search in Google Scholar

Khanal, S. R., Paulino, D., Sampaio, J., Barroso, J., Reis, A., & Filipe, V. (2022). A review on computer vision technology for physical exercise monitoring. Algorithms, 15(12), 444. Search in Google Scholar

Gabbett, T. J., Nassis, G. P., Oetter, E., Pretorius, J., Johnston, N., Medina, D., ... & Ryan, A. (2017). The athlete monitoring cycle: a practical guide to interpreting and applying training monitoring data. British journal of sports medicine, 51(20), 1451-1452. Search in Google Scholar

Passos, J., Lopes, S. I., Clemente, F. M., Moreira, P. M., Rico-González, M., Bezerra, P., & Rodrigues, L. P. (2021). Wearables and Internet of Things (IoT) technologies for fitness assessment: a systematic review. Sensors, 21(16), 5418. Search in Google Scholar

Morais, J. E. (2023). Advances in Wearable Devices for Sports. Applied Sciences, 13(24), 13288. Search in Google Scholar

Seshadri, D. R., Drummond, C., Craker, J., Rowbottom, J. R., & Voos, J. E. (2017). Wearable devices for sports: new integrated technologies allow coaches, physicians, and trainers to better understand the physical demands of athletes in real time. IEEE pulse, 8(1), 38-43. Search in Google Scholar

Wang, S. (2021). Sports training monitoring of energy-saving IoT wearable devices based on energy harvesting. Sustainable Energy Technologies and Assessments, 45, 101168. Search in Google Scholar

Wang, Z., & Gao, Z. (2021). Analysis of real‐time heartbeat monitoring using wearable device Internet of Things system in sports environment. Computational Intelligence, 37(3), 1080-1097. Search in Google Scholar

Yacchirema, D. C., Sarabia-Jácome, D., Palau, C. E., & Esteve, M. (2018). A smart system for sleep monitoring by integrating IoT with big data analytics. IEEE Access, 6, 35988-36001. Search in Google Scholar

De Pessemier, T., & Martens, L. (2018). Heart rate monitoring, activity recognition, and recommendation for e-coaching. Multimedia Tools and Applications, 77, 23317-23334. Search in Google Scholar

Düking, P., Zinner, C., Trabelsi, K., Reed, J. L., Holmberg, H. C., Kunz, P., & Sperlich, B. (2021). Monitoring and adapting endurance training on the basis of heart rate variability monitored by wearable technologies: A systematic review with meta-analysis. Journal of Science and Medicine in Sport, 24(11), 1180-1192. Search in Google Scholar

Fouad, L., AL-Hameed, M. R., Ismail, L. S., Zearah, S. A., Majeed, M. G., Abd Ghani, M. K., & Günerhan, H. (2023). Developing Heart Rate Monitoring system for Athletes using Fuzzy Clustering Approach. Journal of Intelligent Systems & Internet of Things, 9(2). Search in Google Scholar

Wu, X., Liu, C., Wang, L., & Bilal, M. (2023). Internet of things-enabled real-time health monitoring system using deep learning. Neural Computing and Applications, 1-12. Search in Google Scholar

Xue, R., & Yi, H. (2022). Advancement in Physical Education Teaching Using Improved Energy Efficient Scalable Routing Algorithm‐Based Wireless Network. Wireless Communications and Mobile Computing, 2022(1), 2308255. Search in Google Scholar

Fischer, C., Pardos, Z. A., Baker, R. S., Williams, J. J., Smyth, P., Yu, R., ... & Warschauer, M. (2020). Mining big data in education: Affordances and challenges. Review of Research in Education, 44(1), 130-160. Search in Google Scholar

Hao Qi,Choi Woong Jae & Meng Jie. (2023). A data mining-based analysis of cognitive intervention for college students’ sports health using Apriori algorithm. Soft Computing(21),16353-16371. Search in Google Scholar

Zhu Rong,Wang Junrong,Yu Fan & Wang Weilin. (2022). Quality Evaluation of College Physical Training considering Apriori Algorithm. Mathematical Problems in Engineering. Search in Google Scholar

North China University of Water Resources and Electric Power. (2019). Research on data mining of education technical ability training for physical education students based on Apriori algorithm. Cluster Computing(6),14811-14818. Search in Google Scholar

Wang Xinbao,Huang Dawu & Zhao Xuemin. (2020). Design of the Sports Training Decision Support System Based on the Improved Association Rule, the Apriori Algorithm. Intelligent Automation and Soft Computing-1. Search in Google Scholar

Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere