Deep learning for depression recognition with audiovisual cues: A review

L He, M Niu, P Tiwari, P Marttinen, R Su, J Jiang… - Information …, 2022 - Elsevier
With the acceleration of the pace of work and life, people are facing more and more
pressure, which increases the probability of suffering from depression. However, many …

Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion

JZ Wang, S Zhao, C Wu, RB Adams… - Proceedings of the …, 2023 - ieeexplore.ieee.org
The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …

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 …

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 …

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 …

Spectral representation of behaviour primitives for depression analysis

S Song, S Jaiswal, L Shen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Depression is a serious mental disorder affecting millions of people all over the world.
Traditional clinical diagnosis methods are subjective, complicated and require extensive …

Multimodal spatiotemporal representation for automatic depression level detection

M Niu, J Tao, B Liu, J Huang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Physiological studies have shown that there are some differences in speech and facial
activities between depressive and healthy individuals. Based on this fact, we propose a …

Interpretation of depression detection models via feature selection methods

S Alghowinem, T Gedeon, R Goecke… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Given the prevalence of depression worldwide and its major impact on society, several
studies employed artificial intelligence modelling to automatically detect and assess …

Multimodal sensing for depression risk detection: integrating audio, video, and text data

Z Zhang, S Zhang, D Ni, Z Wei, K Yang, S **, G Huang… - Sensors, 2024 - mdpi.com
Depression is a major psychological disorder with a growing impact worldwide. Traditional
methods for detecting the risk of depression, predominantly reliant on psychiatric …

Depression recognition using remote photoplethysmography from facial videos

CÁ Casado, ML Cañellas… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Depression is a mental illness that may be harmful to an individual's health. The detection of
mental health disorders in the early stages and a precise diagnosis are critical to avoid …