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 …
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; …
Depaudionet: An efficient deep model for audio based depression classification
This paper presents a novel and effective audio based method on depression classification.
It focuses on two important issues,\emph {ie} data representation and sample imbalance …
It focuses on two important issues,\emph {ie} data representation and sample imbalance …
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 …
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 …
[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 …
computing community and the artificial intelligence field have shown a growing interest in …
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 …
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 …
Automatic depression recognition by intelligent speech signal processing: A systematic survey
Depression has become one of the most common mental illnesses in the world. For better
prediction and diagnosis, methods of automatic depression recognition based on speech …
prediction and diagnosis, methods of automatic depression recognition based on speech …