<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Emotional problems such as anxiety, stress and tension may have a long-term impact on athletes’ competitive performance and physical and mental health. The identification method of athletes’ psychological state based on video analysis has the advantages of objectivity, real-time and high efficiency. It provides a more accurate evaluation tool for coaches and psychologists. This article aims to design an efficient facial emotion identification model for athletes to improve the accuracy and real-time performance of emotion identification. The results show that the accuracy and recall rate of the convolutional neural network (CNN) algorithm are higher than those of the traditional algorithm in most cases, and the CNN model has high real-time and fast response ability. This research result is valuable for athletes’ psychological state monitoring and performance analysis. By studying athletes’ psychological state, coaches can better understand their inner world in the competition and provide them with more accurate psychological support and intervention. This will not only help to improve athletes’ competitive performance, but also help them better cope with the challenges and pressures in the competition and protect their physical and mental health.</p>
</abstract>

Emotional problems such as anxiety, stress and tension may have a long-term impact on athletes’ competitive performance and physical and mental health. The identification method of athletes’ psychological state based on video analysis has the advantages of objectivity, real-time and high efficiency. It provides a more accurate evaluation tool for coaches and psychologists. This article aims to design an efficient facial emotion identification model for athletes to improve the accuracy and real-time performance of emotion identification. The results show that the accuracy and recall rate of the convolutional neural network (CNN) algorithm are higher than those of the traditional algorithm in most cases, and the CNN model has high real-time and fast response ability. This research result is valuable for athletes’ psychological state monitoring and performance analysis. By studying athletes’ psychological state, coaches can better understand their inner world in the competition and provide them with more accurate psychological support and intervention. This will not only help to improve athletes’ competitive performance, but also help them better cope with the challenges and pressures in the competition and protect their physical and mental health.

Anxiety, Sports Motivation, and Coping Styles Based on Sports Competition Video Analysis

Zhengzhou University of Economics and Business

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Emotional problems such as anxiety, stress and tension may have a long-term impact on athletes’ competitive performance and physical and mental health. The...

Anxiety, Sports Motivation, and Coping Styles Based on Sports Competition Video Analysis

Data publikacji: 26 lut 2024

Zakres stron: -

Otrzymano: 02 sty 2024

Przyjęty: 10 sty 2024

DOI: https://doi.org/10.2478/amns-2024-0345

Słowa kluczowe
Sports competition video, Facial expression, Emotional identification, Sports motivation, Coping style

© 2024 Fang Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Anxiety, Sports Motivation, and Coping Styles Based on Sports Competition Video Analysis

Data publikacji: 26 lut 2024

Zakres stron: -

Otrzymano: 02 sty 2024

Przyjęty: 10 sty 2024

DOI: https://doi.org/10.2478/amns-2024-0345

Słowa kluczoweSports competition video, Facial expression, Emotional identification, Sports motivation, Coping style

© 2024 Fang Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Sports competition video, Facial expression, Emotional identification, Sports motivation, Coping style