AUTHOR=Li LingSong , Li HaiXia 

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

JOURNAL=Frontiers in Psychology

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.897642

DOI=10.3389/fpsyg.2022.897642

ISSN=1664-1078

ABSTRACT=This paper presents the purpose of sports recognition of mental health for users, and analyzes and studies the recognition of mental health by sports based on deep learning. Build the recognition model of sports mental health state composed of data layer, logic layer and display layer. After fusing human health data with deep learning algorithm, extract the feature of human health mutual information, input the feature into the recognition model of mental health state, and output the recognition results of sports mental health mode after forward and reverse operation. Obtain the recognition data of sports on mental health status, 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 BMI index of the human body, has the most controllable amount of data, and has good performance.