Measuring depression severity based on facial expression and body movement using deep convolutional neural network

Measuring depression severity based on facial expression and body movement using deep convolutional neural network

IntroductionReal-time evaluations of the severity of depressive symptoms are of great significance for the diagnosis and treatment of patients with major depressive disorder (MDD). In clinical practice, the evaluation approaches are mainly based on psychological scales and doctor-patient interviews,...

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Bibliographic Details
Main Authors: Dongdong Liu, Bowen Liu, Tao Lin, Guangya Liu, Guoyu Yang, Dezhen Qi, Ye Qiu, Yuer Lu, Qinmei Yuan, Stella C. Shuai, Xiang Li, Ou Liu, Xiangdong Tang, Jianwei Shuai, Yuping Cao, Hai Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Psychiatry
Subjects:
smart medical
depression
behavioral entropy
deep learning
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1017064/full

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https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1017064/full

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