Emotion recognition has recently attracted extensive interest due to its significant
applications to human–computer interaction. The expression of human emotion depends on …

Multi-view learning (MVL) has attracted increasing attention and achieved great practical
success by exploiting complementary information of multiple features or modalities …

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 …

Past research on facial expressions have used relatively limited datasets, which makes it
unclear whether current methods can be employed in real world. In this paper, we present a …

The immense increase in multimedia-on-demand traffic that refers to audio, video, and
images, has drastically shifted the vision of the Internet of Things (IoT) from scalar to …

Automated Facial Expression Recognition (FER) has remained a challenging and
interesting problem in computer vision. Despite efforts made in develo** various methods …

Facial expression recognition (FER) is a challenging task due to different expressions under
arbitrary poses. Most conventional approaches either perform face frontalization on a non …

To explore human emotions, in this paper, we design and build a multi-modal physiological
emotion database, which collects four modal physiological signals, ie …

Recently, the recognition task of spontaneous facial micro-expressions has attracted much
attention with its various real-world applications. Plenty of handcrafted or learned features …

As a subjectively psychological and physiological response to external stimuli, emotion is
ubiquitous in our daily life. With the continuous development of the artificial intelligence and …