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 …

Automatic depression prediction via cross-modal attention-based multi-modal fusion in social networks

L Wang, Y Zhang, B Zhou, S Cao, K Hu… - Computers and Electrical …, 2024 - Elsevier
Depression has become a worldwide public health concern in recent years. The online
social network can be served as a tool to predict latent depressed users. However, existing …

Explainable Depression Detection Based on Facial Expression Using LSTM on Attentional Intermediate Feature Fusion with Label Smoothing

Y Mahayossanunt, N Nupairoj, S Hemrungrojn… - Sensors, 2023 - mdpi.com
Machine learning is used for a fast pre-diagnosis approach to prevent the effects of Major
Depressive Disorder (MDD). The objective of this research is to detect depression using a …

[PDF][PDF] Enhancing Depression Prediction Accuracy Using Filter and Wrapper-Based Visual Feature Extraction

S Mamidisetti, AM Reddy - Journal of Advances in Information Technology, 2023 - jait.us
The pressing need for Artificial Intelligence (AI) applications in healthcare is evident,
particularly in the context of depression prediction. Literature underscores the significance of …

[PDF][PDF] A Multimodal Fusion Model for Depression Detection Assisted by Stacking DNNs

FF de Almeida, KRT Aires, ACB Soares, LDSB Neto… - Authorea …, 2024 - techrxiv.org
Depression is a severe psychosocial pathology that causes mood changes, characterized
by a strong feeling of hopelessness and deep sadness. In advanced stages, it can …

Bi-stage QWOA-Based Efficient Feature Selection for Enhanced Depression Detection Based on Facial Cues

S Rathi, B Kaur, RK Agrawal - … Conference on Soft Computing and Pattern …, 2022 - Springer
In literature, many feature extraction methods have been suggested to compute features
from videos in order to diagnose depression. But, using a single feature extraction method …