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 …

A survey of emotion recognition methods with emphasis on E-Learning environments

M Imani, GA Montazer - Journal of Network and Computer Applications, 2019 - Elsevier
Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …

[图书][B] How the brain learns mathematics

DA Sousa - 2007 - books.google.com
Learn how the brain processes mathematical concepts and why some students develop
math anxiety! David A. Sousa discusses the cognitive mechanisms for learning mathematics …

A systematic review for human EEG brain signals based emotion classification, feature extraction, brain condition, group comparison

M Hamada, BB Zaidan, AA Zaidan - Journal of medical systems, 2018 - Springer
The study of electroencephalography (EEG) signals is not a new topic. However, the
analysis of human emotions upon exposure to music considered as important direction …

A review on EEG signals based emotion recognition

M Zangeneh Soroush, K Maghooli… - International …, 2017 - eprints.go2submission.com
Emotion recognition has become a very controversial issue in brain-computer interfaces
(BCIs). Moreover, numerous studies have been conducted in order to recognize emotions …

Video‐triggered EEG‐emotion public databases and current methods: a survey

W Hu, G Huang, L Li, L Zhang… - Brain Science …, 2020 - journals.sagepub.com
Emotions, formed in the process of perceiving external environment, directly affect human
daily life, such as social interaction, work efficiency, physical wellness, and mental health. In …

Decoding emotions in expressive music performances: A multi-lab replication and extension study

J Akkermans, R Schapiro, D Müllensiefen… - Cognition and …, 2018 - Taylor & Francis
With over 560 citations reported on Google Scholar by April 2018, a publication by Juslin
and Gabrielsson (1996) presented evidence supporting performers' abilities to …

Emotions, mechanisms, and individual differences in music listening: A stratified random sampling approach

PN Juslin, LS Sakka, GT Barradas… - Music Perception: An …, 2022 - online.ucpress.edu
Emotions have been found to play a paramount role in both everyday music experiences
and health applications of music, but the applicability of musical emotions depends on: 1) …

Dual-threshold-based microstate analysis on characterizing temporal dynamics of affective process and emotion recognition from EEG signals

J Chen, H Li, L Ma, H Bo, F Soong, Y Shi - Frontiers in Neuroscience, 2021 - frontiersin.org
Recently, emotion classification from electroencephalogram (EEG) data has attracted much
attention. As EEG is an unsteady and rapidly changing voltage signal, the features extracted …

Machine learning in emotional intelligence studies: a survey

KS Dollmat, NA Abdullah - Behaviour & Information Technology, 2022 - Taylor & Francis
Research has proven that having high level of emotional intelligence (EI) can reduce the
chance of getting mental illness. EI, and its component, can be improved with training, but …