Automatic assessment of depression based on visual cues: A systematic review

A Pampouchidou, PG Simos, K Marias… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
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 …

Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals

H Fan, X Zhang, Y Xu, J Fang, S Zhang, X Zhao, J Yu - Information Fusion, 2024 - Elsevier
Depression stands as one of the most widespread psychological disorders and has
garnered increasing attention. Currently, how to effectively achieve automatic multimodal …

Visually interpretable representation learning for depression recognition from facial images

X Zhou, K Jin, Y Shang, G Guo - IEEE transactions on affective …, 2018 - ieeexplore.ieee.org
Recent evidence in mental health assessment have demonstrated that facial appearance
could be highly indicative of depressive disorder. While previous methods based on the …

Automatic depression recognition using CNN with attention mechanism from videos

L He, JCW Chan, Z Wang - Neurocomputing, 2021 - Elsevier
Artificial intelligence (AI) has incorporated various automatic systems and frameworks to
diagnose the severity of depression using hand-crafted features. However, process of …

[HTML][HTML] Automated depression analysis using convolutional neural networks from speech

L He, C Cao - Journal of biomedical informatics, 2018 - Elsevier
To help clinicians to efficiently diagnose the severity of a person's depression, the affective
computing community and the artificial intelligence field have shown a growing interest in …

Automated depression diagnosis based on deep networks to encode facial appearance and dynamics

Y Zhu, Y Shang, Z Shao, G Guo - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 intelligent system for automatic depression level analysis through visual and vocal expressions

A Jan, H Meng, YFBA Gaus… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
A human being's cognitive system can be simulated by artificial intelligent systems.
Machines and robots equipped with cognitive capability can automatically recognize a …

Spatial–temporal attention network for depression recognition from facial videos

Y Pan, Y Shang, T Liu, Z Shao, G Guo, H Ding… - Expert Systems with …, 2024 - Elsevier
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 …

Automated audiovisual depression analysis

JM Girard, JF Cohn - Current opinion in psychology, 2015 - Elsevier
Analysis of observable behavior in depression primarily relies on subjective measures. New
computational approaches make possible automated audiovisual measurement of …

Dynamic multimodal measurement of depression severity using deep autoencoding

H Dibeklioğlu, Z Hammal… - IEEE journal of biomedical …, 2017 - ieeexplore.ieee.org
Depression is one of the most common psychiatric disorders worldwide, with over 350
million people affected. Current methods to screen for and assess depression depend …