Facial expression is related to facial muscle contractions and different muscle movements
correspond to different emotional states. For micro-expression recognition, the muscle …

The emotion of humans is an important indicator or reflection of their mental states, eg,
satisfaction or stress, and recognizing or detecting emotion from different media is essential …

Multimodal emotion recognition has gained much traction in the field of affective computing,
human–computer interaction (HCI), artificial intelligence (AI), and user experience (UX) …

Speech emotion recognition (SER) is challenging owing to the complexity of emotional
representation. Hence, this article focuses on multimodal speech emotion recognition that …

Emotion recognition is relevant for human behaviour understanding, where facial
expression and speech recognition have been widely explored by the computer vision …

Most previous methods for emotion recognition focus on facial emotion and ignore the rich
context information that implies important emotion states. To make full use of the contextual …

Context-aware emotion recognition (CAER) leverages comprehensive scene information,
including facial expressions, body postures, and contextual background. However, current …

In modern society, user behavior data analysis and product design optimization have
become one of the key factors for the success of enterprises. Traditional methods are usually …

Emotional problems are common among contemporary college students. To improve their
mental health, it is urgent to quickly identify college students' negative emotions, and guide …

In a conversational dialogue, speakers may have different emotional states and their
dynamics play an important role in understanding dialogue's emotional discourse. However …