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Found 5 papers, 1 papers with code
SCVCNet: Sliding cross-vector convolution network for cross-task and inter-individual-set EEG-based cognitive workload recognition
This paper presents a generic approach for applying the cognitive workload recognizer by exploiting common electroencephalogram (EEG) patterns across different human-machine tasks and individual sets.
Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition
Both the temporal dynamics and spatial correlations of Electroencephalogram (EEG), which contain discriminative emotion information, are essential for the emotion recognition.
Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition
In the LTS-GAT, a divide-and-conquer scheme was used to examine local information on temporal and spatial dimensions of EEG patterns based on the graph attention mechanism.
Identification of mental fatigue in language comprehension tasks based on EEG and deep learning
The combination of Frequency and entropy feature and CNN has the highest classification accuracy, which is 85. 34%.
Cross-individual Recognition of Emotions by a Dynamic Entropy based on Pattern Learning with EEG features
Use of the electroencephalogram (EEG) and machine learning approaches to recognize emotions can facilitate affective human computer interactions.
