People's emotions play an important part in our daily life and can not only reflect
psychological and physical states, but also play a vital role in people's communication …

Smart wearables, equipped with sensors monitoring physiological parameters, are
becoming an integral part of our life. In this work, we investigate the possibility of utilizing …

Abstract Dynamic Facial Expression Recognition (DFER) is a rapidly develo** field that
focuses on recognizing facial expressions in video format. Previous research has …

These days, physiological signals have been studied more broadly for emotion recognition
to realize emotional intelligence in human–computer interaction. However, due to the …

Emotion recognition in real-time using electroencephalography (EEG) signals play a key
role in human-computer interaction and affective computing. The existing emotion …

Watching 360 videos using Virtual Reality (VR) head-mounted displays (HMDs) provides
interactive and immersive experiences, where videos can evoke different emotions. Existing …

Physiological signals are the most reliable form of signals for emotion recognition, as they
cannot be controlled deliberately by the subject. Existing review papers on emotion …

Exploration on emotions continues from past to present. Nowadays, with the rapid
advancement of intelligent technology, computer-aided emotion recognition using …

Recognizing user emotions while they watch short-form videos anytime and anywhere is
essential for facilitating video content customization and personalization. However, most …

Emotions expressed by humans can be identified from facial expressions, speech signals, or
physiological signals. Among them, the use of physiological signals for emotion …