This review examines mechanisms contributing to the intergenerational transmission of self-
regulation. To provide an integrated account of how self-regulation is transmitted across …

Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …

Emotions have an important role in daily life, not only in human interaction, but also in
decision-making processes, and in the perception of the world around us. Due to the recent …

Recently, deep learning methodologies have become popular to analyse physiological
signals in multiple modalities via hierarchical architectures for human emotion recognition …

Abstract Background and Objective Using deep-learning methodologies to analyze
multimodal physiological signals becomes increasingly attractive for recognizing human …

In order to improve the accuracy of emotional recognition by end-to-end automatic learning
of emotional features in spatial and temporal dimensions of electroencephalogram (EEG) …

Neuroscience study has revealed the discrepancy of emotion expression between the left
and right hemispheres of human brain. Inspired by this study, in this article, we propose a …

This highly influential work--now in a revised and expanded third edition incorporating major
advances in the field--gives clinicians, educators, and students a new understanding of what …

A growing number of affective computing researches recently developed a computer system
that can recognize an emotional state of the human user to establish affective human …

Classification of electroencephalogram (EEG) is a key approach to measure the rhythmic
oscillations of neural activity, which is one of the core technologies of brain-computer …