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 …

Facial Expression Recognition (FER) is presently the aspect of cognitive and affective
computing with the most attention and popularity, aided by its vast application areas. Several …

Recent research has shown that facial expressions and body gestures are two significant
implications in identifying human emotions. However, these studies mainly focus on …

In recent years, the electronic devices and wireless network are seen everywhere,
generating a massive amount of online surveillance video data that can be applied to …

Facial expression recognition (FER) is of great interest to the current studies of human-
computer interaction. In this paper, we propose a novel geometry-guided facial expression …

Recent visual-based depression recognition methods mostly use hand-crafted features with
information lost in color channels, or deep network features with a limited performance from …

A video multimodal emotion recognition method based on Bi-GRU and attention fusion is
proposed in this paper. Bidirectional gated recurrent unit (Bi-GRU) is applied to improve the …

In order to obtain the state of students' listening in class objectively and accurately, we can
obtain students' emotions through their expressions in class and cognitive feedback through …

Capturing the dynamics of facial expression progression in video is an essential and
challenging task for facial expression recognition (FER). In this article, we propose an …

The recognition of dynamic facial expressions has received increasing attention since they
can better reflect the real expression process of emotion than a static image. However, due …