Depression Detection Based on Deep Distribution Learning

• Published in: Proceedings - International Conference on Image Processing pp. 4544 - 4548
• Main Authors: de Melo, Wheidima Carneiro, Granger, Eric, Hadid, Abdenour
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2019
• Subjects: Affective Computing; Computer architecture; Convolutional Neural Nets; Deep Distribution Learning; Deep learning; Depression Detection; Face; Feature extraction; Task analysis; Training; Videos

Major depressive disorder is among the most common and harmful mental health problems. Several deep learning architectures have been proposed for video-based detection of depression based on the facial expressions of subjects. To predict the depression level, these architectures are often modeled fo...