[PDF][PDF] Emotion recognition based on EEG using LSTM recurrent neural network

S Alhagry, AA Fahmy… - International Journal of …, 2017 - pdfs.semanticscholar.org
Emotion is the most important component in daily interaction between people. Nowadays, it
is important to make the computers understand user's emotion who interacts with it in human …

CNN and LSTM based ensemble learning for human emotion recognition using EEG recordings

A Iyer, SS Das, R Teotia, S Maheshwari… - Multimedia Tools and …, 2023 - Springer
Emotion is a significant parameter in daily life and is considered an important factor for
human interactions. The human-machine interactions and their advanced stages like …

Deep learning-based approach for emotion recognition using electroencephalography (EEG) signals using bi-directional long short-term memory (Bi-LSTM)

M Algarni, F Saeed, T Al-Hadhrami, F Ghabban… - Sensors, 2022 - mdpi.com
Emotions are an essential part of daily human communication. The emotional states and
dynamics of the brain can be linked by electroencephalography (EEG) signals that can be …

[HTML][HTML] EEG-based emotion recognition using hybrid CNN and LSTM classification

B Chakravarthi, SC Ng, MR Ezilarasan… - Frontiers in …, 2022 - frontiersin.org
Emotions are a mental state that is accompanied by a distinct physiologic rhythm, as well as
physical, behavioral, and mental changes. In the latest days, physiological activity has been …

Machine-learning-based emotion recognition system using EEG signals

R Alhalaseh, S Alasasfeh - Computers, 2020 - mdpi.com
Many scientific studies have been concerned with building an automatic system to recognize
emotions, and building such systems usually relies on brain signals. These studies have …

EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM

Y Yin, X Zheng, B Hu, Y Zhang, X Cui - Applied Soft Computing, 2021 - Elsevier
In recent years, graph convolutional neural networks have become research focus and
inspired new ideas for emotion recognition based on EEG. Deep learning has been widely …

EEG channel correlation based model for emotion recognition

MR Islam, MM Islam, MM Rahman, C Mondal… - Computers in Biology …, 2021 - Elsevier
Abstract Emotion recognition using Artificial Intelligence (AI) is a fundamental prerequisite to
improve Human-Computer Interaction (HCI). Recognizing emotion from …

An investigation of deep learning models for EEG-based emotion recognition

Y Zhang, J Chen, JH Tan, Y Chen, Y Chen… - Frontiers in …, 2020 - frontiersin.org
Emotion is the human brain reacting to objective things. In real life, human emotions are
complex and changeable, so research into emotion recognition is of great significance in …

Recognition of Emotions Using Multichannel EEG Data and DBN‐GC‐Based Ensemble Deep Learning Framework

H Chao, H Zhi, L Dong, Y Liu - Computational intelligence and …, 2018 - Wiley Online Library
Fusing multichannel neurophysiological signals to recognize human emotion states
becomes increasingly attractive. The conventional methods ignore the complementarity …

Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals

D Maheshwari, SK Ghosh, RK Tripathy… - Computers in Biology …, 2021 - Elsevier
Emotion is interpreted as a psycho-physiological process, and it is associated with
personality, behavior, motivation, and character of a person. The objective of affective …