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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 …
[HTML][HTML] Review of the emotional feature extraction and classification using EEG signals
J Wang, M Wang - Cognitive robotics, 2021 - Elsevier
As a subjectively psychological and physiological response to external stimuli, emotion is
ubiquitous in our daily life. With the continuous development of the artificial intelligence and …
ubiquitous in our daily life. With the continuous development of the artificial intelligence and …
Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network
H Li, M Ding, R Zhang, C ** a deep neural network for driver fatigue detection using EEG signals based on compressed sensing
In recent years, driver fatigue has become one of the main causes of road accidents. As a
result, fatigue detection systems have been developed to warn drivers, and, among the …
result, fatigue detection systems have been developed to warn drivers, and, among the …
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network
EEG is widely adopted to study the brain and brain computer interface (BCI) for its non-
invasiveness and low costs. Specifically EEG can be applied to differentiate brain states …
invasiveness and low costs. Specifically EEG can be applied to differentiate brain states …