Accesso libero

Design of Basketball Teaching Aid System Based on Artificial Intelligence

INFORMAZIONI SU QUESTO ARTICOLO

Cita

Bo, Q. (2022). The sustainable development of psychological education in students’ learning concept in physical education based on machine learning and the internet of things. Sustainability, 14. Search in Google Scholar

Arto Grstén, Yli-Piipari, S., Huhtiniemi, M., Salin, K., Hakonen, H., & Jaakkola, T. (2021). A one-year follow-up of basic psychological need satisfactions in physical education and associated in-class and total physical activity:. European Physical Education Review, 27(3), 436-454. Search in Google Scholar

Zanon, F., Marcantoni, L., Pastore, G., Baracca, E., & Roncon, L. (2020). The challenge of education in conduction system pacing: results from single or dual operators. European Heart Journal, 41(Supplement_2). Search in Google Scholar

Carse, N., Jess, M., & Keay, J. (2017). Start young: the possibilities of primary physical education. European Physical Education Review, 1356336X1668859. Search in Google Scholar

Lohmann, J., & Goller, A. (2023). Physical education teacher educators’ subjective theories about sustainability and education for sustainable development. International Journal of Sustainability in Higher Education, 24(4), 877-894. Search in Google Scholar

Hu, Y., & Xu, Y. (2021). Study on the automatic basketball shooting system based on the background subtraction method. Scientific programming(Pt.13), 2021. Search in Google Scholar

Shi, F., & Hu, X. (2022). Fuzzy dynamic obstacle avoidance algorithm for basketball robot based on multi-sensor data fusion technology. International Journal of Foundations of Computer Science. Search in Google Scholar

Mulrey, C. R., Shultz, S. J., Ford, K. R., Nguyen, A. D., & Taylor, J. B. (2018). Methods of identifying limb dominance in adolescent female basketball players. Clinical Journal of Sport Medicine. Search in Google Scholar

Liu, R., Liu, Z., & Liu, S. (2021). Recognition of basketball player’s shooting action based on the convolutional neural network. Scientific Programming. Search in Google Scholar

Guo, Q., & Li, B. (2020). Role of ai physical education based on application of functional sports training. Journal of Intelligent and Fuzzy Systems(2), 1-9. Search in Google Scholar

Chiu, M., Sim, W. L., Mun, N., & Silva, A. (2024). Using ai-enabled divergence and convergence patterns as a quantitative artifact in design education. Journal of mechanical design(3), 146. Search in Google Scholar

Aibar, A., ngel Abós, Luis García-González, David González-Cutre, & Sevil-Serrano, J. (2021). Understanding students’ novelty satisfaction in physical education: associations with need-supportive teaching style and physical activity intention:. European Physical Education Review, 27(4), 779-797. Search in Google Scholar

Guo, J., Bai, L., Yu, Z., Zhao, Z., & Wan, B. (2021). An ai-application-oriented in-class teaching evaluation model by using statistical modeling and ensemble learning. Sensors, 21(1), 241. Search in Google Scholar

Yao, P. (2021). Real-time analysis of basketball sports data based on deep learning. Complexity, 2021, 1-11. Search in Google Scholar

Zhang, N., Han, Y., Rubén G. Crespo, & Oscar S. Martínez. (2020). Physical education teaching for saving energy in basketball sports athletics using hidden markov and motion model. Computational Intelligence. Search in Google Scholar

Song, X., & Fan, L. (2021). Human posture recognition and estimation method based on 3d multiview basketball sports dataset. Complexity. Search in Google Scholar

Rossi, M., Pasanen, K., Heinonen, A., Yrm, S., Risnen, A., & Leppnen, M., et al. (2020). Performance in dynamic movement tasks and occurrence of low back pain in youth floorball and basketball players. British Journal of Sports Medicine(1). Search in Google Scholar

Yan, B. (2021). Problems and countermeasures in the process of applying multimedia technology in basketball teaching. Wireless Communications and Mobile Computing. Search in Google Scholar

Hojo, K. K. Y. (2019). Analysis of factors predicting who obtains a ball in basketball rebounding situations. Nature reviews Cancer, 19(2). Search in Google Scholar

María G. Gamero, Juan M. García-Ceberino, Sergio J. Ibáez, & Sebastián Feu. (2021). Analysis of declarative and procedural knowledge according to teaching method and experience in school basketball. Sustainability, 13. Search in Google Scholar

eISSN:
2444-8656
Lingua:
Inglese
Frequenza di pubblicazione:
Volume Open
Argomenti della rivista:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics