SG-DSN
Facial expression recognition (FER) is a crucial task for human emotion analysis and has attracted wide interest in the field of computer […]
Emotional well-being in smart environments
Well-being in smart environments refers to the mental, physiological and emotional states of people passing through environments where sensors, actuators and computers […]
A Deep Multiscale Spatiotemporal Network for Assessing Depression from Facial Dynamics
Recently deep learning models have been successfully employed in video-based affective computing applications. One key application is automatic depression recognition from facial […]
A Deep Multiscale Spatiotemporal Network for Assessing Depression from Facial Dynamics
Recently deep learning models have been successfully employed in video-based affective computing applications. One key application is automatic depression recognition from facial […]
Encoding Temporal Information For Automatic Depression Recognition From Facial Analysis
Depression is a mental illness that may be harmful to an individual’s health. Using deep learning models to recognize the facial expressions […]
MEEC
Recognizing human emotions and responding appropriately has the potential to radically change the way we interact with technology. However, to train machines […]
Depression Detection Based on Deep Distribution Learning
Major depressive disorder is among the most common and harmful mental health problems. Several deep learning architectures have been proposed for video-based […]
Towards Reading Hidden Emotions
Micro-expressions (MEs) are rapid, involuntary facial expressions which reveal emotions that people do not intend to show. Studying MEs is valuable as […]