Abstract
Tennis is a sport with a large age span. Its technology is complex. Factors such as tennis racket and service position will affect the effect of players holding the ball, but often the service posture and strength will affect the players’ elbow tendon. Once the service posture is wrong or the strength is too strong, it will cause irreversible damage to players. Therefore, the study of artificial neural network training on tennis elbow injury is of great significance. Based on artificial neural network, this paper studies the biomechanics of elbow injury in tennis service. Firstly, this paper expounds the concept and characteristics of tennis service technology and studies the injury of tennis players’ elbow. Then this paper studies the artificial neural network technology and uses the experimental comparison method to test the force generated by the two groups of tennis players from different angles. The results show that, in the professional group, the forearm is in the internal rotation state before and after hitting the ball, while the beginner group is generally in the external rotation state. It can be inferred that, under the constant collision force, the reversal force absorbed by the beginner group in the swing process is greater than that of the professional group, which will increase the load of the supinator muscle on the antipronation, which will damage the supinator muscle, which is also one of the causes of the “tennis elbow” disease.
Highlights
Tennis is a very important sport in the game
Security and Communication Networks theory,” and “neuromorphological system” [7, 8]. e above research is based on artificial neural network, which is helpful to the research of elbow injury in tennis service
Rough the biomechanical analysis of elbow injury in tennis service, it is concluded that the player and shoulder joint, the front, middle, and cross racket of the net are affected. e experimental research is carried out by using neural network, and the hitting angle will be different under different types of hitting. is paper mainly uses the single factor cross bar method to analyze the damage of steel straight shoulder and ball small angle stage and uses BP artificial neural network technology to analyze the damage
Summary
Tennis is a very important sport in the game. Serving technology has high requirements for athletes [1, 2]. Some scholars studied the influencing factors of basketball injury in physical education teaching based on artificial neural network. E above research is based on artificial neural network, which is helpful to the research of elbow injury in tennis service. Is paper mainly uses the single factor cross bar method to analyze the damage of steel straight shoulder and ball small angle stage and uses BP artificial neural network technology to analyze the damage. 2. Discussion on Biomechanics of Elbow Injury in Tennis Service Based on Artificial Neural Network. In tennis confrontation, receiving the opponent’s serve will lead to tension and psychological fear It subconsciously creates more attack opportunities for the opponent and directly improves the opponent’s ability to defeat himself. The position of the ball is forward; the second serve throws the ball, and the position of the ball is relatively backward
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