Original paper
Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics
Volume: 9, Issue: 4, Pages: 578 - 584
Published: Jan 10, 2017
Abstract
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, we study the problem of automatic diagnosis of depression. A new approach to predict the Beck Depression Inventory II (BDI-II) values from video data...
Paper Details
Title
Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics
Published Date
Jan 10, 2017
Volume
9
Issue
4
Pages
578 - 584