EEG based emotion recognition: A tutorial and review
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 …
concept in Artificial Intelligence and holds great potential in emotional health care, human …
Emotion recognition in EEG signals using deep learning methods: A review
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 …
planning, reasoning, and other mental states. As a result, they are considered a significant …
EEG channel correlation based model for emotion recognition
Abstract Emotion recognition using Artificial Intelligence (AI) is a fundamental prerequisite to
improve Human-Computer Interaction (HCI). Recognizing emotion from …
improve Human-Computer Interaction (HCI). Recognizing emotion from …
Networking architecture and key supporting technologies for human digital twin in personalized healthcare: a comprehensive survey
Digital twin (DT), referring to a promising technique to digitally and accurately represent
actual physical entities, has attracted explosive interests from both academia and industry …
actual physical entities, has attracted explosive interests from both academia and industry …
TC-Net: A Transformer Capsule Network for EEG-based emotion recognition
Deep learning has recently achieved remarkable success in emotion recognition based on
Electroencephalogram (EEG), in which convolutional neural networks (CNNs) are the mostly …
Electroencephalogram (EEG), in which convolutional neural networks (CNNs) are the mostly …
EEG-based emotion recognition via transformer neural architecture search
C Li, Z Zhang, X Zhang, G Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Emotion recognition based on electroencephalogram (EEG) plays an increasingly important
role in the field of brain–computer interfaces. Recently, deep learning has been widely …
role in the field of brain–computer interfaces. Recently, deep learning has been widely …
Multi-modal emotion recognition using EEG and speech signals
Abstract Automatic Emotion Recognition (AER) is critical for naturalistic Human–Machine
Interactions (HMI). Emotions can be detected through both external behaviors, eg, tone of …
Interactions (HMI). Emotions can be detected through both external behaviors, eg, tone of …
[HTML][HTML] Status of deep learning for EEG-based brain–computer interface applications
In the previous decade, breakthroughs in the central nervous system bioinformatics and
computational innovation have prompted significant developments in brain–computer …
computational innovation have prompted significant developments in brain–computer …
EEG emotion recognition based on TQWT-features and hybrid convolutional recurrent neural network
M Zhong, Q Yang, Y Liu, B Zhen, B Xie - Biomedical signal processing …, 2023 - Elsevier
Electroencephalogram (EEG)-based emotion recognition has gained high attention in Brain-
Computer Interfaces. However, due to the non-linearity and non-stationarity of EEG signals …
Computer Interfaces. However, due to the non-linearity and non-stationarity of EEG signals …
EEG-based emotion analysis using non-linear features and ensemble learning approaches
Recognition of emotions based on electroencephalography (EEG) has become one of the
most emerging topics for healthcare, education system, knowledge sharing, gaming, and …
most emerging topics for healthcare, education system, knowledge sharing, gaming, and …