HIGHLIGHTS
- who: Jie Wang and collaborators from the Normal University, Jinhua, China have published the research work: Driving Fatigue Detection with Three Non-Hair-Bearing EEG Channels and Modified Transformer Model, in the Journal: Entropy 2022, 1715 of /2022/
- what: To improve the accuracy with NHB montage this study proposed an improved transformer architecture for one-dimensional feature vector classification based on introducing the Gated Linear Unit (GLU) in the Attention sub-block and Feed-Forward Networks (FFN) sub-block of a transformer called Moreover the authors constructed an NHB-EEG-based feature set including the . . .
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