EEG based emotion recognition: A tutorial and review
Emotion recognition technology through analyzing the EEG signal is currently an essential
concept in Artificial Intelligence and holds great potential in emotional health care, human …
concept in Artificial Intelligence and holds great potential in emotional health care, human …
[HTML][HTML] The neuroscience of positive emotions and affect: Implications for cultivating happiness and wellbeing
R Alexander, OR Aragón, J Bookwala… - Neuroscience & …, 2021 - Elsevier
This review paper provides an integrative account regarding neurophysiological correlates
of positive emotions and affect that cumulatively contribute to the scaffolding for positive …
of positive emotions and affect that cumulatively contribute to the scaffolding for positive …
Annual Research Review: On the relations among self‐regulation, self‐control, executive functioning, effortful control, cognitive control, impulsivity, risk‐taking, and …
JT Nigg - Journal of child psychology and psychiatry, 2017 - Wiley Online Library
Background Self‐regulation (SR) is central to developmental psychopathology, but progress
has been impeded by varying terminology and meanings across fields and literatures …
has been impeded by varying terminology and meanings across fields and literatures …
Emotional expressions reconsidered: Challenges to inferring emotion from human facial movements
It is commonly assumed that a person's emotional state can be readily inferred from his or
her facial movements, typically called emotional expressions or facial expressions. This …
her facial movements, typically called emotional expressions or facial expressions. This …
Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks
To investigate critical frequency bands and channels, this paper introduces deep belief
networks (DBNs) to constructing EEG-based emotion recognition models for three emotions …
networks (DBNs) to constructing EEG-based emotion recognition models for three emotions …
Identifying stable patterns over time for emotion recognition from EEG
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 …
emotion recognition using a machine learning approach. Up to now, various findings of …
Emotion fingerprints or emotion populations? A meta-analytic investigation of autonomic features of emotion categories.
The classical view of emotion hypothesizes that certain emotion categories have a specific
autonomic nervous system (ANS)“fingerprint” that is distinct from other categories …
autonomic nervous system (ANS)“fingerprint” that is distinct from other categories …
Comorbid anxiety and depression: clinical and conceptual consideration and transdiagnostic treatment
KW Choi, YK Kim, HJ Jeon - Anxiety disorders: Rethinking and …, 2020 - Springer
Although anxiety and depression have been considered as two distinct entities according to
the diagnostic criteria, anxious depression (comorbid anxiety and depression) is relatively a …
the diagnostic criteria, anxious depression (comorbid anxiety and depression) is relatively a …
Introduction to emotions in education
The classroom is an emotional place. The countless hours students spend attending class,
completing projects, taking exams, and building social relationships translate into progress …
completing projects, taking exams, and building social relationships translate into progress …
Frontal asymmetry as a mediator and moderator of emotion: An updated review
For over 35 years, research has examined frontal alpha EEG asymmetry, discussed in terms
of relative left frontal activity (rLFA) in the present review, as a concurrent and prospective …
of relative left frontal activity (rLFA) in the present review, as a concurrent and prospective …