Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics

• Published in: IEEE transactions on affective computing Vol. 9; no. 4; pp. 578 - 584
• Main Authors: Zhu, Yu, Shang, Yuanyuan, Shao, Zhuhong, Guo, Guodong
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.10.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Automated depression diagnosis; Automation; deep convolutional neural networks; Diagnosis; Face recognition; Feature extraction; flow dynamics; Histograms; Mental depression; Mental health; nonverbal behavior; Optical computing; Optical imaging; Video data

As a severe psychiatric disorder disease, depression is a state of low mood and aversion to activity, which prevents a person from functioning normally in both work and daily lives. The study on automated mental health assessment has been given increasing attentions in recent years. In this paper, w...