Deep learning for depression recognition with audiovisual cues: A review
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 …
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
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 …
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
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 …
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 …
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 …
Multimodal spatiotemporal representation for automatic depression level detection
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 …
activities between depressive and healthy individuals. Based on this fact, we propose a …
Interpretation of depression detection models via feature selection methods
Given the prevalence of depression worldwide and its major impact on society, several
studies employed artificial intelligence modelling to automatically detect and assess …
studies employed artificial intelligence modelling to automatically detect and assess …
Multimodal sensing for depression risk detection: integrating audio, video, and text data
Depression is a major psychological disorder with a growing impact worldwide. Traditional
methods for detecting the risk of depression, predominantly reliant on psychiatric …
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 …
mental health disorders in the early stages and a precise diagnosis are critical to avoid …