This paper is the first review into the automatic analysis of speech for use as an objective
predictor of depression and suicidality. Both conditions are major public health concerns; …

Automatic depression assessment based on visual cues is a rapidly growing research
domain. The present exhaustive review of existing approaches as reported in over sixty …

Depression stands as one of the most widespread psychological disorders and has
garnered increasing attention. Currently, how to effectively achieve automatic multimodal …

Recent evidence in mental health assessment have demonstrated that facial appearance
could be highly indicative of depressive disorder. While previous methods based on the …

Continuous dimensional models of human affect, such as those based on valence and
arousal, have been shown to be more accurate in describing a broad range of spontaneous …

Recent studies focus on the utilization of deep learning approaches to recognize depression
from facial videos. However, these approaches have been hindered by their limited …

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 …

Artificial intelligence (AI) has incorporated various automatic systems and frameworks to
diagnose the severity of depression using hand-crafted features. However, process of …

Deep learning (DL) models have been successfully applied in video-based affective
computing, allowing, for instance, to recognize emotions and mood, or to estimate the …

A human being's cognitive system can be simulated by artificial intelligent systems.
Machines and robots equipped with cognitive capability can automatically recognize a …