This work is licensed under the Creative Commons Attribution 4.0 International License.
Filippeschi, A., Schmitz, N., Miezal, M., Bleser, G., Ruffaldi, E., & Stricker, D. (2017). Survey of motion tracking methods based on inertial sensors: A focus on upper limb human motion. Sensors, 17(6), 1257.FilippeschiA., SchmitzN., MiezalM., BleserG., RuffaldiE. & StrickerD. (2017). Survey of motion tracking methods based on inertial sensors: A focus on upper limb human motion. Sensors, 17(6), 1257.Search in Google Scholar
Sony, S., Laventure, S., & Sadhu, A. (2019). A literature review of next-generation smart sensing technology in structural health monitoring. Structural Control and Health Monitoring, 26(3), e2321.SonyS., LaventureS. & SadhuA. (2019). A literature review of next-generation smart sensing technology in structural health monitoring. Structural Control and Health Monitoring, 26(3), e2321.Search in Google Scholar
Dhillon, S. S., Vitiello, M. S., Linfield, E. H., Davies, A. G., Hoffmann, M. C., Booske, J., ... & Johnston, M. B. (2017). The 2017 terahertz science and technology roadmap. Journal of Physics D: Applied Physics, 50(4), 043001.DhillonS. S., VitielloM. S., LinfieldE. H., DaviesA. G., HoffmannM. C., BooskeJ. ... & JohnstonM. B. (2017). The 2017 terahertz science and technology roadmap. Journal of Physics D: Applied Physics, 50(4), 043001.Search in Google Scholar
Beiderbeck, D., Evans, N., Frevel, N., & Schmidt, S. L. (2023). The impact of technology on the future of football–A global Delphi study. Technological Forecasting and Social Change, 187, 122186.BeiderbeckD., EvansN., FrevelN. & SchmidtS. L. (2023). The impact of technology on the future of football–A global Delphi study. Technological Forecasting and Social Change, 187, 122186.Search in Google Scholar
Meng, X., Li, Z., Wang, S., Karambakhsh, A., Sheng, B., Yang, P., ... & Mao, L. (2020). A video information driven football recommendation system. Computers & Electrical Engineering, 85, 106699.MengX., LiZ., WangS., KarambakhshA., ShengB., YangP. ... & MaoL. (2020). A video information driven football recommendation system. Computers & Electrical Engineering, 85, 106699.Search in Google Scholar
Jin, G., & Bian, M. (2024). Research on Reform and Practice of College Football Teaching Mode Based on VR Technology. In SHS Web of Conferences (Vol. 187, p. 02023). EDP Sciences.JinG. & BianM. (2024). Research on Reform and Practice of College Football Teaching Mode Based on VR Technology. In SHS Web of Conferences (Vol. 187, p. 02023). EDP Sciences.Search in Google Scholar
Barra, S., Carta, S. M., Giuliani, A., Pisu, A., Podda, A. S., & Riboni, D. (2023). FootApp: An AI-powered system for football match annotation. Multimedia Tools and Applications, 82(4), 5547-5567.BarraS., CartaS. M., GiulianiA., PisuA., PoddaA. S. & RiboniD. (2023). FootApp: An AI-powered system for football match annotation. Multimedia Tools and Applications, 82(4), 5547-5567.Search in Google Scholar
Supriadi, A. (2022). Technology-Based Football Shooting Skills Test Instrument. Webology, 19(2).SupriadiA. (2022). Technology-Based Football Shooting Skills Test Instrument. Webology, 19(2).Search in Google Scholar
Kasih, I., Faridah, E., Siregar, S., Bangun, S. Y., & Sinulingga, A. (2022). Effectiveness of sensor-based media to improve referee education. International Journal of Education in Mathematics, Science and Technology, 10(02), 391-408.KasihI., FaridahE., SiregarS., BangunS. Y. & SinulinggaA. (2022). Effectiveness of sensor-based media to improve referee education. International Journal of Education in Mathematics, Science and Technology, 10(02), 391-408.Search in Google Scholar
Yu, S. A. (2021). Application of computer information technology in college physical education using fuzzy evaluation theory. Computational intelligence, 37(3), 1181-1198.YuS. A. (2021). Application of computer information technology in college physical education using fuzzy evaluation theory. Computational intelligence, 37(3), 1181-1198.Search in Google Scholar
Xie, Q., Jin, N., & Lu, S. (2023). Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors. Applied Bionics and Biomechanics, 2023(1), 2354728.XieQ., JinN. & LuS. (2023). Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors. Applied Bionics and Biomechanics, 2023(1), 2354728.Search in Google Scholar
Jin, G. (2022). Player target tracking and detection in football game video using edge computing and deep learning. The Journal of Supercomputing, 78(7), 9475-9491.JinG. (2022). Player target tracking and detection in football game video using edge computing and deep learning. The Journal of Supercomputing, 78(7), 9475-9491.Search in Google Scholar
Wen, Z., Yang, Y., Sun, N., Li, G., Liu, Y., Chen, C., ... & Sun, X. (2018). A wrinkled PEDOT: PSS film based stretchable and transparent triboelectric nanogenerator for wearable energy harvesters and active motion sensors. Advanced Functional Materials, 28(37), 1803684.WenZ., YangY., SunN., LiG., LiuY., ChenC. ... & SunX. (2018). A wrinkled PEDOT: PSS film based stretchable and transparent triboelectric nanogenerator for wearable energy harvesters and active motion sensors. Advanced Functional Materials, 28(37), 1803684.Search in Google Scholar
García-Ceberino, J. M., Antúnez, A., Feu, S., & Ibáñez, S. J. (2020). Quantification of internal and external load in school football according to gender and teaching methodology. International Journal of Environmental Research and Public Health, 17(1), 344.García-CeberinoJ. M., AntúnezA., FeuS. & IbáñezS. J. (2020). Quantification of internal and external load in school football according to gender and teaching methodology. International Journal of Environmental Research and Public Health, 17(1), 344.Search in Google Scholar
Zhang, C. (2024). Raising student motivation and interest in football through rich media platforms: the experience of China. Interactive Learning Environments, 32(2), 572-584.ZhangC. (2024). Raising student motivation and interest in football through rich media platforms: the experience of China. Interactive Learning Environments, 32(2), 572-584.Search in Google Scholar
Mou, C. (2024). The Attention Mechanism Performance Analysis for Football Players Using the Internet of Things and Deep Learning. IEEE Access.MouC. (2024). The Attention Mechanism Performance Analysis for Football Players Using the Internet of Things and Deep Learning. IEEE Access.Search in Google Scholar
Wang, J. (2022). Application of 5G Internet of Things technology in the design of physical education platform. Computational Intelligence and Neuroscience, 2022(1), 9382048.WangJ. (2022). Application of 5G Internet of Things technology in the design of physical education platform. Computational Intelligence and Neuroscience, 2022(1), 9382048.Search in Google Scholar
Tian, C., Liu, J., Chen, M., & Liu, Z. (2024, September). The Application of Big Data and Artificial Intelligence Technology in Football Training and Competition. In 2024 International Seminar on Artificial Intelligence, Computer Technology and Control Engineering (ACTCE) (pp. 363-366). IEEE.TianC., LiuJ., ChenM. & LiuZ. (2024, September). The Application of Big Data and Artificial Intelligence Technology in Football Training and Competition. In 2024 International Seminar on Artificial Intelligence, Computer Technology and Control Engineering (ACTCE) (pp. 363-366). IEEE.Search in Google Scholar
Cheng, X., & Zhang, P. (2024). Enhanced Soccer Training Simulation Using Progressive Wasserstein GAN and Termite Life Cycle Optimization in Virtual Reality. The International Arab Journal of Information Technology, 21(4), 549-559.ChengX. & ZhangP. (2024). Enhanced Soccer Training Simulation Using Progressive Wasserstein GAN and Termite Life Cycle Optimization in Virtual Reality. The International Arab Journal of Information Technology, 21(4), 549-559.Search in Google Scholar
Yang, P., & Wu, X. (2024). Football teaching and training based on video surveillance using deep learning. Technology and Health Care, 32(6), 4077-4096.YangP. & WuX. (2024). Football teaching and training based on video surveillance using deep learning. Technology and Health Care, 32(6), 4077-4096.Search in Google Scholar
Yang, X. (2023). Application of High-Speed Optical Measurement Based on Nanoscale Photoelectric Sensing Technology in the Optimization of Football Shooting Mechanics. Journal of Nanoelectronics and Optoelectronics, 18(12), 1493-1501.YangX. (2023). Application of High-Speed Optical Measurement Based on Nanoscale Photoelectric Sensing Technology in the Optimization of Football Shooting Mechanics. Journal of Nanoelectronics and Optoelectronics, 18(12), 1493-1501.Search in Google Scholar
Chu, X., & Wang, Z. (2025). Multi object evolution based on infrared thermal radiation image sensing for simulating youth football sports. Thermal Science and Engineering Progress, 58, 103251.ChuX. & WangZ. (2025). Multi object evolution based on infrared thermal radiation image sensing for simulating youth football sports. Thermal Science and Engineering Progress, 58, 103251.Search in Google Scholar
Afonshin, V., Drandrov, G., Burtsev, V., & Polevchikov, M. (2020). Teaching football-players the techniques of dribbling and stroke using digital technologies in terms of interactive training complex. In BIO Web of Conferences (Vol. 26, p. 00044). EDP Sciences.AfonshinV., DrandrovG., BurtsevV. & PolevchikovM. (2020). Teaching football-players the techniques of dribbling and stroke using digital technologies in terms of interactive training complex. In BIO Web of Conferences (Vol. 26, p. 00044). EDP Sciences.Search in Google Scholar
Yang, T., Yuan, G., & Yan, J. (2021). Health analysis of footballer using big data and deep learning. Scientific Programming, 2021(1), 9608147.YangT., YuanG. & YanJ. (2021). Health analysis of footballer using big data and deep learning. Scientific Programming, 2021(1), 9608147.Search in Google Scholar
Zayer, M. A. M. (2022). the Effect of Compound Exercises, Kinetic Sense (Hearing-Optical) Using a Light-Sensor Assisting Device To Develop Some Physical and Skill Abilities of Young Football Players. Revista iberoamericana de psicología del ejercicio y el deporte, 17(1), 40-46.ZayerM. A. M. (2022). the Effect of Compound Exercises, Kinetic Sense (Hearing-Optical) Using a Light-Sensor Assisting Device To Develop Some Physical and Skill Abilities of Young Football Players. Revista iberoamericana de psicología del ejercicio y el deporte, 17(1), 40-46.Search in Google Scholar
Zhao, K., & Guo, X. (2022). Analysis of the application of virtual reality technology in football training. Journal of Sensors, 2022(1), 1339434.ZhaoK. & GuoX. (2022). Analysis of the application of virtual reality technology in football training. Journal of Sensors, 2022(1), 1339434.Search in Google Scholar
Wang, B. (2024). Use of network technologies in teaching football tactics: cooperation, engagement, creativity. Interactive Learning Environments, 32(9), 5078-5088.WangB. (2024). Use of network technologies in teaching football tactics: cooperation, engagement, creativity. Interactive Learning Environments, 32(9), 5078-5088.Search in Google Scholar
Li, H., Cui, C., & Jiang, S. (2024). Strategy for improving the football teaching quality by AI and metaverse-empowered in mobile internet environment. Wireless Networks, 30(5), 4343-4352.LiH., CuiC. & JiangS. (2024). Strategy for improving the football teaching quality by AI and metaverse-empowered in mobile internet environment. Wireless Networks, 30(5), 4343-4352.Search in Google Scholar
Tian, C., Zhou, Q., & Yang, B. (2022). Reform and Intelligent Innovation Path of College Football Teaching and Training Based on Mixed Teaching Mode. Mobile Information Systems, 2022(1), 8436138.TianC., ZhouQ. & YangB. (2022). Reform and Intelligent Innovation Path of College Football Teaching and Training Based on Mixed Teaching Mode. Mobile Information Systems, 2022(1), 8436138.Search in Google Scholar
Dai, Q., & Wu, Y. (2024). Application of FCM optimization algorithm and Sensor Technology in Football Training Ability Mining. Measurement: Sensors, 33, 101231.DaiQ. & WuY. (2024). Application of FCM optimization algorithm and Sensor Technology in Football Training Ability Mining. Measurement: Sensors, 33, 101231.Search in Google Scholar
Gonzalez Crespo, R., & Burgos, D. (2019). Advanced sensors technology in education. Sensors, 19(19), 4155.Gonzalez CrespoR. & BurgosD. (2019). Advanced sensors technology in education. Sensors, 19(19), 4155.Search in Google Scholar
Yin, X., Vignesh, C. C., & Vadivel, T. (2022). Motion capture and evaluation system of football special teaching in colleges and universities based on deep learning. International Journal of System Assurance Engineering and Management, 13(6), 3092-3107.YinX., VigneshC. C. & VadivelT. (2022). Motion capture and evaluation system of football special teaching in colleges and universities based on deep learning. International Journal of System Assurance Engineering and Management, 13(6), 3092-3107.Search in Google Scholar
Xu, Z. (2025). Light sensors and infrared radiation images based on artificial intelligence data mining for football performance evaluation and prediction. Thermal Science and Engineering Progress, 58, 103250.XuZ. (2025). Light sensors and infrared radiation images based on artificial intelligence data mining for football performance evaluation and prediction. Thermal Science and Engineering Progress, 58, 103250.Search in Google Scholar
Gabriel Trujillo Hernández, Dayanna Ortiz Villaseñor, Julio C. Rodríguez Quiñonez, Luis Roberto Ramírez Hernández, Fabian N. Murrieta Rico, Abelardo Mercado Herrera... & Jesús Heriberto Orduño Osuna. (2024). Plantar Load System Analysis Using FSR Sensors and Interpolation Methods. Metrology(4), 566-577.HernándezGabriel Trujillo, VillaseñorDayanna Ortiz, QuiñonezJulio C. Rodríguez, HernándezLuis Roberto Ramírez, Murrieta RicoFabian N., HerreraAbelardo Mercado... & OsunaJesús Heriberto Orduño. (2024). Plantar Load System Analysis Using FSR Sensors and Interpolation Methods. Metrology(4), 566-577.Search in Google Scholar
David Eager, Md Imam Hossain, Anna Lidfors Lindqvist & Shilei Zhou. (2024). City bus seat vibration analysis using 6-axis accelerometer and gyroscope sensors. Scientific Reports(1), 29865-29865.EagerDavid, HossainMd Imam, LindqvistAnna Lidfors & ZhouShilei. (2024). City bus seat vibration analysis using 6-axis accelerometer and gyroscope sensors. Scientific Reports(1), 29865-29865.Search in Google Scholar
Yun Zhu, Ying Li, Dong Li, Lin Dong, Xuesheng Liu, Anru Yan... & Zhiyong Wang. (2024). A Theoretical and Experimental Analysis of the Time-Domain Characteristics of a PRBS Phase-Modulated Laser System. Applied Sciences(20), 9198-9198.ZhuYun, LiYing, LiDong, DongLin, LiuXuesheng, YanAnru... & WangZhiyong. (2024). A Theoretical and Experimental Analysis of the Time-Domain Characteristics of a PRBS Phase-Modulated Laser System. Applied Sciences(20), 9198-9198.Search in Google Scholar
Yanqing He, Ling Shi, Xiaoqin Yao, Haojie Zhang & Abdullah A. Al Barakati. (2024). Squirrel search algorithm-support vector machine: Assessing civil engineering budgeting course using an SSA-optimized SVM model. Demonstratio Mathematica(1),HeYanqing, ShiLing, YaoXiaoqin, ZhangHaojie & Al BarakatiAbdullah A.. (2024). Squirrel search algorithm-support vector machine: Assessing civil engineering budgeting course using an SSA-optimized SVM model. Demonstratio Mathematica(1),Search in Google Scholar
Amy de Castro, Hyesuk Lee & Margaret M. Wiecek. (2025). A Lagrange multiplier method for fluid-structure interaction: Well-posedness and domain decomposition. Computers and Mathematics with Applications 193-215.de CastroAmy, LeeHyesuk & WiecekMargaret M.. (2025). A Lagrange multiplier method for fluid-structure interaction: Well-posedness and domain decomposition. Computers and Mathematics with Applications193-215.Search in Google Scholar