Automated emotion recognition based on higher order statistics and deep learning algorithm
R Sharma, RB Pachori, P Sircar - Biomedical Signal Processing and …, 2020 - Elsevier
The objective of this paper is online recognition of human emotions based on
electroencephalogram (EEG) signals. The emotions are originated from the central and …
electroencephalogram (EEG) signals. The emotions are originated from the central and …
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 …
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 …
dynamics of the brain can be linked by electroencephalography (EEG) signals that can be …
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 …
personality, behavior, motivation, and character of a person. The objective of affective …
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 …
Electroencephalogram (EEG)-based emotion recognition has developed a lot due to the …
[HTML][HTML] Classification of human emotion from EEG using discrete wavelet transform
M Murugappan, N Ramachandran, Y Sazali - Journal of biomedical …, 2010 - scirp.org
In this paper, we summarize the human emotion recognition using different set of
electroencephalogram (EEG) channels using discrete wavelet transform. An audio-visual …
electroencephalogram (EEG) channels using discrete wavelet transform. An audio-visual …
Fused CNN-LSTM deep learning emotion recognition model using electroencephalography signals
M Ramzan, S Dawn - International Journal of Neuroscience, 2023 - Taylor & Francis
Introduction: The traditional machine learning-based emotion recognition models have
shown effective performance for classifying Electroencephalography (EEG) based emotions …
shown effective performance for classifying Electroencephalography (EEG) based emotions …
[HTML][HTML] Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal
MA Rahman, MF Hossain, M Hossain… - Egyptian Informatics …, 2020 - Elsevier
To achieve a highly efficient brain-computer interface (BCI) system regarding emotion
recognition from electroencephalogram (EEG) signal, the most crucial issues are feature …
recognition from electroencephalogram (EEG) signal, the most crucial issues are feature …
Subject independent emotion recognition using EEG signals employing attention driven neural networks
AS Rajpoot, MR Panicker - Biomedical Signal Processing and Control, 2022 - Elsevier
Electroencephalogram (EEG) based emotional analysis has been employed in medical
science, security and human–computer interaction with good success. In the recent past …
science, security and human–computer interaction with good success. In the recent past …
Multi-domain feature fusion for emotion classification using DEAP dataset
M Khateeb, SM Anwar, M Alnowami - Ieee Access, 2021 - ieeexplore.ieee.org
Emotion recognition in real-time using electroencephalography (EEG) signals play a key
role in human-computer interaction and affective computing. The existing emotion …
role in human-computer interaction and affective computing. The existing emotion …