Classification of emotions using EEG activity associated with different areas of the brain
It is important that interactive Affective Brain-Computer Interface (aBCI) applications support
some degree of emotional intelligence. Many of the previous works that have explored the …
some degree of emotional intelligence. Many of the previous works that have explored the …
Multi-domain feature fusion for emotion classification using DEAP dataset
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 …
[PDF][PDF] Classification of human emotions from electroencephalogram (EEG) signal using deep neural network
A Al-Nafjan, M Hosny, A Al-Wabil… - Int. J. Adv. Comput. Sci …, 2017 - academia.edu
Estimation of human emotions from Electroencephalogram (EEG) signals plays a vital role in
developing robust Brain-Computer Interface (BCI) systems. In our research, we used Deep …
developing robust Brain-Computer Interface (BCI) systems. In our research, we used Deep …
Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
EH Houssein, A Hammad, AA Ali - Neural Computing and Applications, 2022 - Springer
Affective computing, a subcategory of artificial intelligence, detects, processes, interprets,
and mimics human emotions. Thanks to the continued advancement of portable non …
and mimics human emotions. Thanks to the continued advancement of portable non …
Comparison of different feature extraction methods for EEG-based emotion recognition
EEG-based emotion recognition is a challenging and active research area in affective
computing. We used three-dimensional (arousal, valence and dominance) model of emotion …
computing. We used three-dimensional (arousal, valence and dominance) model of emotion …
A comparative analysis of machine and deep learning techniques for eeg evoked emotion classification
In the field of Brain Computer Interface (BCI), applications in real life like emotion recognition
from recorded electrical activity from brain have become famous topic of research …
from recorded electrical activity from brain have become famous topic of research …
EEG-based brain computer interface for emotion recognition
Emotion recognition using electroencephalography (EEG) signal could be a current focus in
brain-computer interface research, that is convenient and a reliable technique. EEG-based …
brain-computer interface research, that is convenient and a reliable technique. EEG-based …
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 …
emotions, and building such systems usually relies on brain signals. These studies have …
[HTML][HTML] Electroencephalography based emotion detection using ensemble classification and asymmetric brain activity
Over the past decade, emotion detection using rhythmic brain activity has become a critical
area of research. The asymmetrical brain activity has garnered the most significant level of …
area of research. The asymmetrical brain activity has garnered the most significant level of …
Electroencephalograph-based emotion recognition using brain connectivity feature and domain adaptive residual convolution model
J Chen, C Min, C Wang, Z Tang, Y Liu… - Frontiers in Neuroscience, 2022 - frontiersin.org
In electroencephalograph (EEG) emotion recognition research, obtaining high-level
emotional features with more discriminative information has become the key to improving …
emotional features with more discriminative information has become the key to improving …