Recognition and Analysis of Sports on Mental Health Based on Deep Learning

• Published in: Frontiers in psychology Vol. 13; p. 897642
• Main Authors: Li, LingSong, Li, HaiXia
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 15-06-2022
• Subjects: athletic sports; characteristics of human health mutual information; deep learning; mental health; Psychology; state identification
• ISSN: 1664-1078; 1664-1078
• DOI: 10.3389/fpsyg.2022.897642

This paper presents the purpose of sport recognition of mental health for users and analyzes and studies the recognition of mental health by sports based on deep learning. The recognition model of sport mental health state composed of data layer, logic layer and display layer is built. After fusing human health data with deep learning algorithm, the feature of human health mutual information is extracted, the feature into the recognition model of mental health state is inputted, and the recognition results of sport mental health mode after forward and reverse operation are outputted. The recognition data of sports on mental health status are obtained, which correspond to the link flowing through during multi-level transmission, calibrate the multi-level transmission point, and fuse and process the recognition information of sports on mental health status. The experimental results show that the loss value of the research method when analyzing the effect of sports on mental health enhancement is the smallest, the output result is reliable, can effectively improve the body mass index (BMI) of the human body, has the most controllable amount of data, and has good performance.