Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …

In recent years, graph convolutional neural networks have become research focus and
inspired new ideas for emotion recognition based on EEG. Deep learning has been widely …

In SAE Level 3 automated driving, taking over control from automation raises significant
safety concerns because drivers out of the vehicle control loop have difficulty negotiating …

Compared with facial emotion estimation on categorical model, dimensional emotion
estimation can describe numerous emotions more accurately. Most prior works of …

Emotion recognition has become an important component of human–computer interaction
systems. Research on emotion recognition based on electroencephalogram (EEG) signals …

In this paper, at first, the impact of ImageNet pre-training on fine-grained Facial Emotion
Recognition (FER) is investigated which shows that when enough augmentations on images …

The ability to perceive human facial emotions is an essential feature of various multi-modal
applications, especially in the intelligent human-computer interaction (HCI) area. In recent …

Emotion lexicons describe the affective meaning of words and thus constitute a centerpiece
for advanced sentiment and emotion analysis. Yet, manually curated lexicons are only …

The retention of audiences has become a pressing issue in the paradigm of livestreaming
electronic commerce. Embracing the cognitive appraisal theory of emotions, this study …

Facial expression recognition (FER) in the wild from various viewpoints, lighting conditions,
face poses, scales, and occlusions is an extremely challenging field of research. In this …