Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …

Decades of research have shown machine learning superiority in discovering highly
nonlinear patterns embedded in electroencephalography (EEG) records compared with …

Cognitive computing is dedicated to researching a computing principle and method that can
simulate the intelligence ability of human brain. Human emotion is the basic component of …

Electroencephalogram (EEG) based emotion classification reflects the actual and intrinsic
emotional state, resulting in more reliable, natural, and meaningful human-computer …

Most emotion recognition systems still present limited applicability to new users due to the
intersubject variability of electroencephalogram (EEG) signals. Although domain adaptation …

Electroencephalography (EEG) based emotion recognition has become a hot research
issue in the field of cognitive interaction and brain-computer interface (BCI). How to build a …

As one of the key technologies of emotion computing, emotion recognition has received
great attention. Electroencephalogram (EEG) signals are spontaneous and difficult to …

In recent years, emotion recognition based on electroencephalography (EEG) signals has
attracted plenty of attention. Most of the existing works focused on normal or depressed …

Emotion recognition based on EEG (electroencephalography) has been widely used in
human-computer interaction, distance education and health care. However, the …

This article presents EARFace, a system that shows the feasibility of tracking facial
landmarks for 3D facial reconstruction using in-ear acoustic sensors embedded within smart …