A review of depression and suicide risk assessment using speech analysis
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; …
predictor of depression and suicidality. Both conditions are major public health concerns; …
Automatic assessment of depression based on visual cues: A systematic review
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 …
domain. The present exhaustive review of existing approaches as reported in over sixty …
Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals
Depression stands as one of the most widespread psychological disorders and has
garnered increasing attention. Currently, how to effectively achieve automatic multimodal …
garnered increasing attention. Currently, how to effectively achieve automatic multimodal …
Visually interpretable representation learning for depression recognition from facial images
Recent evidence in mental health assessment have demonstrated that facial appearance
could be highly indicative of depressive disorder. While previous methods based on the …
could be highly indicative of depressive disorder. While previous methods based on the …
Automatic depression recognition using CNN with attention mechanism from videos
Artificial intelligence (AI) has incorporated various automatic systems and frameworks to
diagnose the severity of depression using hand-crafted features. However, process of …
diagnose the severity of depression using hand-crafted features. However, process of …
AFEW-VA database for valence and arousal estimation in-the-wild
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 …
arousal, have been shown to be more accurate in describing a broad range of spontaneous …
Automated depression diagnosis based on deep networks to encode facial appearance and dynamics
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 …
activity, which prevents a person from functioning normally in both work and daily lives. The …
Artificial intelligent system for automatic depression level analysis through visual and vocal expressions
A human being's cognitive system can be simulated by artificial intelligent systems.
Machines and robots equipped with cognitive capability can automatically recognize a …
Machines and robots equipped with cognitive capability can automatically recognize a …
Spatial–temporal attention network for depression recognition from facial videos
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 …
from facial videos. However, these approaches have been hindered by their limited …
Spectral representation of behaviour primitives for depression analysis
Depression is a serious mental disorder affecting millions of people all over the world.
Traditional clinical diagnosis methods are subjective, complicated and require extensive …
Traditional clinical diagnosis methods are subjective, complicated and require extensive …