Prematch Emotions and Coping Styles of Martial Arts Athletes Based on Artificial Intelligence

Abstract

The fluctuation of martial arts athletes before competition is easy to affect martial arts competition. Emotional stimulation helps martial arts athletes to play in the competition field and improve their on-the-sport coping skills. In this paper, we use artificial intelligence technology to analyze the precompetition emotions of martial arts athletes, make guidance for the precompetition situation of martial arts athletes, and give to-the-spot response guidance and suggestions. In this paper, the artificial intelligence MLR (multiple logistic regression) combined with the unsupervised LOF (local outlier factor) algorithm is used to realize the precompetition emotion analysis and on-the-spot response guidance for martial arts athletes. In addition, this paper takes a community martial arts team as the test object and verifies the method through practice feedback. Studies have shown that this method of analysis and guidance can effectively assess the emotions of martial arts athletes and take intervention, compared to the absence of sentiment analysis and on-the-sport guidance for martial arts athletes. Compared to the coach’s intuitive guidance, the interventions in this treatise speed up 65%. From the experimental subjects in this paper, athletes of the same level provide emotional guidance and suggestions for responding to emotional fluctuations. This can psychologically improve the efficiency of athletes by more than 35%. Therefore, the use of artificial intelligence analysis methods can effectively improve the emotional stability of martial arts athletes before the game, so that they can deal with all kinds of emergencies on the spot.