Review and classification of emotion recognition based on EEG brain-computer interface system research: a systematic review

A Al-Nafjan, M Hosny, Y Al-Ohali, A Al-Wabil - Applied Sciences, 2017 - mdpi.com
Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …

Investigating the effects of different levels and types of construction noise on emotions using EEG data

M Mir, F Nasirzadeh, H Bereznicki, P Enticott… - Building and …, 2022 - Elsevier
Construction noise can affect human health and wellbeing through its negative effects on
emotions. This study used EEG data to investigate the effects of different types and levels of …

Deep learning classification of neuro-emotional phase domain complexity levels induced by affective video film clips

S Aydın - IEEE Journal of Biomedical and Health Informatics, 2019 - ieeexplore.ieee.org
In the present article, a novel emotional complexity marker is proposed for classification of
discrete emotions induced by affective video film clips. Principal Component Analysis (PCA) …

Physiological synchrony in EEG, electrodermal activity and heart rate reflects shared selective auditory attention

IV Stuldreher, N Thammasan… - Journal of neural …, 2020 - iopscience.iop.org
Objective. Concurrent changes in physiological signals across multiple listeners
(physiological synchrony—PS), as caused by shared affective or cognitive processes, may …

Evaluating brain spectral and connectivity differences between silent mind-wandering and trance states

H Wahbeh, C Cannard, M Kriegsman… - Progress in Brain …, 2023 - Elsevier
Trance is an altered state of consciousness characterized by alterations in cognition. In
general, trance states induce mental silence (ie, cognitive thought reduction), and mental …

Frontal EEG asymmetry of emotion for the same auditory stimulus

M Lee, GH Shin, SW Lee - IEEE Access, 2020 - ieeexplore.ieee.org
Emotions play an important role in human interaction and decision-making processes.
Frontal asymmetry in brain activity is a promising neurophysiological indicator of emotion …

The increasing instance of negative emotion reduce the performance of emotion recognition

X Wang, S Zhao, Y Pei, Z Luo, L Xie, Y Yan… - Frontiers in Human …, 2023 - frontiersin.org
Introduction Emotion recognition plays a crucial role in affective computing. Recent studies
have demonstrated that the fuzzy boundaries among negative emotions make recognition …

Physiological synchrony in EEG, electrodermal activity and heart rate detects attentionally relevant events in time

IV Stuldreher, N Thammasan, JBF Van Erp… - Frontiers in …, 2020 - frontiersin.org
Interpersonal physiological synchrony (PS), or the similarity of physiological signals
between individuals over time, may be used to detect attentionally engaging moments in …

A comparative study of window size and channel arrangement on EEG-emotion recognition using deep CNN

P Keelawat, N Thammasan, M Numao, B Kijsirikul - Sensors, 2021 - mdpi.com
Emotion recognition based on electroencephalograms has become an active research area.
Yet, identifying emotions using only brainwaves is still very challenging, especially the …

Frontal alpha asymmetry and theta oscillations associated with information sharing intention

NL Fischer, R Peres, M Fiorani - Frontiers in behavioral neuroscience, 2018 - frontiersin.org
Social media has gained increasing importance in many aspects of everyday life, from
building relationships to establishing collaborative networks between individuals worldwide …