A review on the computational methods for emotional state estimation from the human EEG

MK Kim, M Kim, E Oh, SP Kim - … and mathematical methods in …, 2013 - Wiley Online Library
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 …

[HTML][HTML] Review of evoked and event-related delta responses in the human brain

B Güntekin, E Başar - International Journal of Psychophysiology, 2016 - Elsevier
In the last decade, the brain's oscillatory responses have invaded the literature. The studies
on delta (0.5–3.5 Hz) oscillatory responses in humans upon application of cognitive …

Human emotion recognition using deep belief network architecture

MM Hassan, MGR Alam, MZ Uddin, S Huda… - Information …, 2019 - Elsevier
Recently, deep learning methodologies have become popular to analyse physiological
signals in multiple modalities via hierarchical architectures for human emotion recognition …

Recognition of emotions using multimodal physiological signals and an ensemble deep learning model

Z Yin, M Zhao, Y Wang, J Yang, J Zhang - Computer methods and …, 2017 - Elsevier
Abstract Background and Objective Using deep-learning methodologies to analyze
multimodal physiological signals becomes increasingly attractive for recognizing human …

Real-time movie-induced discrete emotion recognition from EEG signals

YJ Liu, M Yu, G Zhao, J Song, Y Ge… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Recognition of a human's continuous emotional states in real time plays an important role in
machine emotional intelligence and human-machine interaction. Existing real-time emotion …

A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges

C Mühl, B Allison, A Nijholt, G Chanel - Brain-Computer Interfaces, 2014 - Taylor & Francis
Affective states, moods and emotions, are an integral part of human nature: they shape our
thoughts, govern the behavior of the individual, and influence our interpersonal …

What hemodynamic (fNIRS), electrophysiological (EEG) and autonomic integrated measures can tell us about emotional processing

M Balconi, E Grippa, ME Vanutelli - Brain and cognition, 2015 - Elsevier
Due to its fast temporal evolution and its representation and integration among complex and
widespread neural networks, the emotion perception process should preferably be …

A review of brain oscillations in perception of faces and emotional pictures

B Güntekin, E Başar - Neuropsychologia, 2014 - Elsevier
The differentiation of faces, facial expressions and affective pictures involves processes of
higher mental activity that have considerable applications in the psychology of moods and …

Brain oscillations and BIS/BAS (behavioral inhibition/activation system) effects on processing masked emotional cues.: ERS/ERD and coherence measures of alpha …

M Balconi, G Mazza - International Journal of Psychophysiology, 2009 - Elsevier
Alpha brain oscillation modulation was analyzed in response to masked emotional facial
expressions. In addition, behavioural activation (BAS) and behavioural inhibition systems …

Emotional face expressions are differentiated with brain oscillations

B Güntekin, E Basar - International Journal of Psychophysiology, 2007 - Elsevier
The differentiation of “facial expressions” is a process of higher mental activity, which has
considerable applications in “psychology of moods and emotions”. We applied the approach …