Emotion recognition in EEG signals using deep learning methods: A review

M Jafari, A Shoeibi, M Khodatars… - Computers in Biology …, 2023 - Elsevier
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

A comprehensive survey on emotion recognition based on electroencephalograph (EEG) signals

K Kamble, J Sengupta - Multimedia Tools and Applications, 2023 - Springer
Emotion recognition using electroencephalography (EEG) is becoming an interesting topic
among researchers. It has made a remarkable entry in the domain of biomedical, smart …

Emotion recognition from EEG signal focusing on deep learning and shallow learning techniques

MR Islam, MA Moni, MM Islam… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, electroencephalogram-based emotion recognition has become crucial in enabling
the Human-Computer Interaction (HCI) system to become more intelligent. Due to the …

EEG-based emotion recognition using logistic regression with Gaussian kernel and Laplacian prior and investigation of critical frequency bands

C Pan, C Shi, H Mu, J Li, X Gao - Applied sciences, 2020 - mdpi.com
Emotion plays a nuclear part in human attention, decision-making, and communication.
Electroencephalogram (EEG)-based emotion recognition has developed a lot due to the …

Subject-independent emotion recognition of EEG signals based on dynamic empirical convolutional neural network

S Liu, X Wang, L Zhao, J Zhao, Q Xin… - … /ACM transactions on …, 2020 - ieeexplore.ieee.org
Affective computing is one of the key technologies to achieve advanced brain-machine
interfacing. It is increasingly concerning research orientation in the field of artificial …

EEG‐based emotion recognition: a state‐of‐the‐art review of current trends and opportunities

NS Suhaimi, J Mountstephens… - Computational …, 2020 - Wiley Online Library
Emotions are fundamental for human beings and play an important role in human cognition.
Emotion is commonly associated with logical decision making, perception, human …

Deep learning-based EEG emotion recognition: Current trends and future perspectives

X Wang, Y Ren, Z Luo, W He, J Hong… - Frontiers in …, 2023 - frontiersin.org
Automatic electroencephalogram (EEG) emotion recognition is a challenging component of
human–computer interaction (HCI). Inspired by the powerful feature learning ability of …

Investigating the use of pretrained convolutional neural network on cross-subject and cross-dataset EEG emotion recognition

Y Cimtay, E Ekmekcioglu - Sensors, 2020 - mdpi.com
The electroencephalogram (EEG) has great attraction in emotion recognition studies due to
its resistance to deceptive actions of humans. This is one of the most significant advantages …

EEG-based emotion recognition with deep convolutional neural networks

MA Ozdemir, M Degirmenci, E Izci… - Biomedical Engineering …, 2021 - degruyter.com
The emotional state of people plays a key role in physiological and behavioral human
interaction. Emotional state analysis entails many fields such as neuroscience, cognitive …

Application of electroencephalography-based machine learning in emotion recognition: A review

J Cai, R Xiao, W Cui, S Zhang, G Liu - Frontiers in Systems …, 2021 - frontiersin.org
Emotion recognition has become increasingly prominent in the medical field and human-
computer interaction. When people's emotions change under external stimuli, various …