EEG based emotion recognition: A tutorial and review

X Li, Y Zhang, P Tiwari, D Song, B Hu, M Yang… - ACM Computing …, 2022 - dl.acm.org
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 …

Recognition of human emotions using EEG signals: A review

MM Rahman, AK Sarkar, MA Hossain… - Computers in biology …, 2021 - Elsevier
Assessment of the cognitive functions and state of clinical subjects is an important aspect of
e-health care delivery, and in the development of novel human-machine interfaces. A …

Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks

WL Zheng, BL Lu - IEEE Transactions on autonomous mental …, 2015 - ieeexplore.ieee.org
To investigate critical frequency bands and channels, this paper introduces deep belief
networks (DBNs) to constructing EEG-based emotion recognition models for three emotions …

Identifying stable patterns over time for emotion recognition from EEG

WL Zheng, JY Zhu, BL Lu - IEEE transactions on affective …, 2017 - ieeexplore.ieee.org
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 …

Arousal effects on pupil size, heart rate, and skin conductance in an emotional face task

CA Wang, T Baird, J Huang, JD Coutinho… - Frontiers in …, 2018 - frontiersin.org
Arousal level changes constantly and it has a profound influence on performance during
everyday activities. Fluctuations in arousal are regulated by the autonomic nervous system …

On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning

Z Halim, M Rehan - Information Fusion, 2020 - Elsevier
Driving an automobile under high stress level reduces driver's control on vehicle and risk-
assessment capabilities, often resulting in road accidents. Driver's anxiety therefore is a key …

[图书][B] The developing mind: How relationships and the brain interact to shape who we are

DJ Siegel - 2020 - books.google.com
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 …

EEG-based emotion recognition in music listening

YP Lin, CH Wang, TP Jung, TL Wu… - IEEE Transactions …, 2010 - ieeexplore.ieee.org
Ongoing brain activity can be recorded as electroen-cephalograph (EEG) to discover the
links between emotional states and brain activity. This study applied machine-learning …

Emotion classification based on gamma-band EEG

M Li, BL Lu - 2009 Annual International Conference of the IEEE …, 2009 - ieeexplore.ieee.org
In this paper, we use EEG signals to classify two emotions-happiness and sadness. These
emotions are evoked by showing subjects pictures of smile and cry facial expressions. We …

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 …