USING ARTIFICIAL INTELLIGENCE TO DETERMINE THE MOST IMPORTANT BIO-KINEMATIC VARIABLES FOR THE HITTING PHASE AND CHANGING THE TRAJECTORY OF THE BALL TO PRECISION AREAS WHEN PERFORMING THE HIGH CRUSHING SKILL IN VOLLEYBALL

Abstract

The importance of the research is evident in that it sheds light on the most important things that lead to improving this skill, including the aspects of the ability to achieve accuracy and stay away from areas where there are usually defenders, that is, the performance from a biomechanical standpoint, and which variables are usually most important in achieving a change of direction, directing the ball, and knowing These bio-kinematic variables, according to their importance, provide an opportunity for the coach or player to practice on them. As for the research problem, and through the field experience and personal observation of the researcher in the game, he noted that this The skill, despite its importance, is modest in its performance if there is a blocking wall in front of it and a strong defense of the court. The reason for this is that the player cannot quickly shift his attention and overcome the blocking wall and thus direct the ball accurately to the opponent’s court floor and score the point. The study aimed to identify the most important skills. Biomechanical variables for the hitting phase and changing the trajectory of the ball to the accuracy areas when performing the high crushing skill of volleyball using artificial intelligence. The researcher hypothesized that there are biomechanical variables that are more important for accuracy than others when performing the skill of hitting a high smash in volleyball. The researcher used the descriptive method using the survey method to suit the research objectives. The most important conclusions were that the height of the ball at the moment of hitting achieved the highest degree of importance in accuracy. As for the most important recommendations that the researcher recommended, the emphasis on the ball height variable is the factor that most influences accuracy.