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.
Highlights
Based on emotional event theory, decision-making participation is a typical internal learning behavior in an organization
In the martial arts coach education system, the static subject teaching knowledge modules are composed of the same knowledge components in the preservice and postservice martial arts coach training, due to the different teaching experience and personality differences of different martial arts coaches, they are faced with different teaching situations, and the different interaction between the static knowledge modules leads to the individual differences in the generated AI emotion analysis, which makes the martial arts coach profession have its irreplaceable high creative characteristics and highlights the wisdom, interactive generation, and other characteristics of the martial arts coach work
Under the background of the current application of artificial intelligence in education, with the extensive and deep integration of artificial intelligence in the teaching field, it is necessary for traditional martial arts coaches to turn to the subject teaching knowledge of integrating artificial intelligence
Summary
Based on emotional event theory, decision-making participation is a typical internal learning behavior in an organization. In the process of interpersonal interaction, members of an organization will form a collective emotional response and individual work efficacy through emotional rendering, sharing, and aggregation mechanisms. E external performance of this emotional spiral mechanism needs the help of a specific decision-making participation process among members and through the ability of resource integration to obtain a competitive advantage. Abrahamian et al found that AI sentiment analysis is beneficial to product innovation of science and technology enterprises, improving performance [4]. On this basis, Sartorius puts more emphasis on the importance of AI sentiment analysis and organizational innovation
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