Name
Professor’s name
Course
Date
Artificial Intelligence in Sports-Annotated Bibliography
Kakavas, Georgios, Nikolaos Malliaropoulos, Ricard Pruna, and Nicola Maffulli. “Artificial intelligence: a tool for sports trauma prediction.” Injury 51 (2020): S63-S65.
Authored by Kakavas et al, the article “Artificial intelligence: a tool for sports trauma prediction centers on the subjects matters of artificial intelligence within the sports field. The article is part of Injury journal of 2020. The researchers assert that artificial intelligence helps to predict injury occurrences on players. Seeing that they have a negative impact on performance and rehabilitation costs artificial intelligence has helped sports teams and coaches predict future injuries. Kavavas et al predict that numerous dynamic systems including political forecasting, weather and projecting traffic fatalities. In conclusion, the researchers propose the use of artificial intelligence in assessing risk and predicting future sports injuries. The text is reliable seeing that it was published by a renowned publisher known as Elsevier Ltd. The article is also reliable as it is up-to-date as it was published within the last three years.
Li, Dongnan, and Jianpeng Zhang. “Computer aided teaching system based on artificial intelligence in football teaching and training.” Mobile Information Systems 2021 (2021).
Published by Hindawi, a Amsterdam-based publisher, the article, Computer Aided Teaching System Based on Artificial Intelligence in Football Teaching and Training, was authored by Li, Dongnan, and Jianpeng Zhang. It is part of the Mobile Information Systems of 2021 journal. The main subject matter includes football, athletes, education, coaches, athletes and training. The main point is that football being the biggest sport in the world has affected participants and impacted political culture and economy. The researchers note that for developing countries, the best way to boost stability in youth football is improving football. They note that to solve the problems of football players, making plans and designing systems is important. They also insist on formulating training programs which align to the individual characteristics of young people. The authors suggest research methods such as questionnaires survey, literature retrieval, comparative analysis method, training empirical method, support vector machine model, and interview mode based on integrated FTT systems. The experimental results indicate that 90.70% of sports players like FTT systems which help boost player enthusiasm in learning. The text is reliable seeing that it was published in the last five years and by a renowned Publisher known as Hindawi.
Lv, Jiyong, Xiangzhi Jiang, and Ang Jiang. “Application of Virtual Reality Technology Based on Artificial Intelligence in Sports Skill Training.” Wireless Communications and Mobile Computing 2022 (2022).
The 2022 article title Application of Virtual Reality Technology Based on Artificial Intelligence in Sports Skill Training”, was authored by four researchers namely Lv, Jiyong, Xiangzhi Jiang, and Ang Jiang. The article is part of the Wireless communications and mobile computing, 2022, Vol.2022 Journal. The researchers opine that the rapid advancement in technology and economy has significantly affected the habits and lifestyles of people. That said, less people are conducting offline sports activities and while some choose gyms, and others offline exercises as the high cost of gyms tends to reduce their desire to exercise. The text notes that despite measures being taken to exercise, people still lack enthusiasm for exercise leading to frequent physical injury. The researchers highlight the possibility of applying virtual reality technology in sport skill training. Also, the text delves into the application of virtual reality in tennis. The researchers conclude that application of virtual reality technology in future sports raining is advtangeous. The information in the article is reliable as it was recently published in 2020.
Works Cited
Kakavas, Georgios, Nikolaos Malliaropoulos, Ricard Pruna, and Nicola Maffulli. “Artificial intelligence: a tool for sports trauma prediction.” Injury 51 (2020): S63-S65.
Li, Dongnan, and Jianpeng Zhang. “Computer aided teaching system based on artificial intelligence in football teaching and training.” Mobile Information Systems 2021 (2021).
Published by Hindawi, a Amsterdam-based publisher, the article,
Lv, Jiyong, Xiangzhi Jiang, and Ang Jiang. “Application of Virtual Reality Technology Based on Artificial Intelligence in Sports Skill Training.” Wireless Communications and Mobile Computing 2022 (2022).
