Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …

Micro-action is an imperceptible non-verbal behaviour characterised by low-intensity
movement. It offers insights into the feelings and intentions of individuals and is important for …

We introduce a wearable single-eye emotion recognition device and a real-time approach to
recognizing emotions from partial observations of an emotion that is robust to changes in …

Facial expressions are generally recognized based on handcrafted and deep-learning-
based features extracted from RGB facial images. However, such recognition methods suffer …

Automatically recognising apparent emotions from face and voice is hard, in part because of
various sources of uncertainty, including in the input data and the labels used in a machine …

When a person recognizes another's emotion, he or she recognizes the (facial) features
associated with emotional expression. So, for a machine to recognize facial emotion (s), the …

Identity-invariant facial expression recognition (FER) has been one of the challenging
computer vision tasks. Since conventional FER schemes do not explicitly address the inter …

As a fine-grained and local expression behavior measurement, facial action unit (FAU)
analysis (eg, detection and intensity estimation) has been documented for its time …

Despite achieving impressive performance, dimensional affect or emotion recognition from
faces is largely based on uncertainty-unaware models that predict only point estimates …

Emotion recognition in conversation (ERC) based on multiple modalities has attracted
enormous attention. However, most research simply concatenated multimodal …