Comparative studies on brain asymmetry date back to the 19th century but then largely
disappeared due to the assumption that lateralization is uniquely human. Since the …

Children exposed to various forms of adversity early in life are at increased risk for a broad
range of developmental difficulties, affecting both cognitive and emotional adjustment. We …

To investigate critical frequency bands and channels, this paper introduces deep belief
networks (DBNs) to constructing EEG-based emotion recognition models for three emotions …

In this paper, we investigate stable patterns of electroencephalogram (EEG) over time for
emotion recognition using a machine learning approach. Up to now, various findings of …

We review conceptual arguments and research on the role of asymmetric frontal cortical
activity in emotional and motivational processes. The current article organizes and reviews …

Recently, emotion classification from EEG data has attracted much attention with the rapid
development of dry electrode techniques, machine learning algorithms, and various real …

Emotions are intrinsically-generated, central, regulatory states of the brain that unify
awareness and co-ordinate activity of a coherent, mentally-active subject. Emotions direct …

Background and objective: Emotion classification tasks based on electroencephalography
(EEG) are an essential part of artificial intelligence, with promising applications in healthcare …

Emotion recognition is the task of recognizing a person's emotional state. EEG, as a
physiological signal, can provide more detailed and complex information for emotion …

The reissue of a classic work, now with a foreword by Daniel Goleman! Here is a
monumental work that continues in the tradition pioneered by co-author Richard Lazarus in …