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Application Of Artificial Intelligence In Basketball

Posted on:2021-05-30Degree:MasterType:Thesis
Country:ChinaCandidate:X G TaoFull Text:PDF
GTID:2427330602960218Subject:Physical Education
Abstract/Summary:PDF Full Text Request
With the rapid development of information technology in today's times,the application of Internet,big data,intelligent bracelet information technology and sports field has improved the intelligent level of sports and played an important role in promoting the performance of sports.Focusing on the theme of the application of artificial intelligence in the field of basketball,this paper discusses and analyzes the implementation of artificial intelligence in basketball big data,basketball robot and basketball teaching and training by means of literature research,video analysis,comparative research and mathematical statistics,so as to provide theoretical basis for promoting the application of artificial intelligence in the field of basketball.It also provides a theoretical reference for the wider application of artificial intelligence in the field of sports.The main results of this study are as follows:(1)big data's application path in the field of basketball is mainly reflected in: through big data to analyze the behavior track of each other and his own players,and formulate the corresponding one-to-one strategy,which can effectively improve the individual offensive and defensive intensity of the players;Analyze the attack or defense efficiency of different players and the tactical style of the other team,formulate the corresponding tactics at the whole team level,we can find out the tactics and player configuration most in line with the team,analyze the data of individual players on the court,such as rebounds,passing,holding the ball singles,etc.,we can find the most suitable position of the players,and then make the corresponding training for them.The use of automatic induction technology,that is,artificial intelligence "referee",in areas prone to misjudgment improves the fairness and fluency of the game.The results theoretically show that the positioning of the players,the tactics of the team and the quality of the game can be improved by big data.(2)Basketball robot can be divided into two kinds: one is basketball robot based on expert system,which constructs the motion model of human body through laser and vision system,so that the robot can identify and arrange the motion mode of human body and evaluate the risk of sports injury.In order to get more accurate and stereoscopic information,the multi-training target robot can be used in training,that is,the multi-training target robot can be used to detect and feedback multiple indexes at the same time to correct the player's error in time;the other is the auxiliary robot,which can actively correct the technical action,train the player to form muscle memory and improve the player's ability compared with the general training.The results show that the technical action of the player can be standardized,the body of the player can be protected sideways,and the ability of the player can be improved by constructing the mannequin or designing an active auxiliary robot.(3)the implementation ways in basketball teaching and training mainly include three aspects: 1)wearing sports intelligent equipment,which can record stride,heart rate and other physical state,intelligent device has been popularized in daily life training,relatively primary,but confirmed its feasibility from the side.2)HD camera supplemented by intelligent analysis system.This method is based on the information captured by the high-definition camera,and then the information is processed by the intelligent analysis system,and the deep information is obtained,such as "what is the hit rate of player A passing the ball to B for more than five seconds?" In practical application,NBA has been working with relevant intelligent companies for many years,and we can infer that this method is effective.3)based on the data of players throughout the season,an auxiliary training system with accurate physiological index model is constructed.After optimizing the model,we can find the boundary between effective and overtraining,improve the training method,and apply this system to the Warriors.In recent years,the Warriors are not only the team with the best record,but also the lowest injury rate in the league,which shows that this method does reduce the injury rate of the players.
Keywords/Search Tags:Artificial intelligence, big data, intelligent basketball training
PDF Full Text Request
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