Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …

Unlike the conventional facial expressions, micro-expressions are involuntary and transient
facial expressions capable of revealing the genuine emotions that people attempt to hide …

This paper presents an efficiently robust facial expression recognition (FER) network, named
EfficientFace, which holds much fewer parameters but more robust to the FER in the wild …

Micro-expression (ME) is a significant non-verbal communication clue that reveals one
person's genuine emotional state. The development of micro-expression analysis (MEA) has …

With the transition of facial expression recognition (FER) from laboratory-controlled to
challenging in-the-wild conditions and the recent success of deep learning techniques in …

Automatic human affect recognition is a key step towards more natural human-computer
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …

One of the ambitions of Science Robotics is to deeply root robotics research in science while
develo** novel robotic platforms that will enable new scientific discoveries. Of our 10 …

The Audio/Visual Emotion Challenge and Workshop (AVEC 2019)'State-of-Mind, Detecting
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …

It is commonly assumed that a person's emotional state can be readily inferred from his or
her facial movements, typically called emotional expressions or facial expressions. This …