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Reconstructing Visual Stimulus Images from EEG Signals Based on Deep Visual Representation Model
Considering the advantages of low cost and easy portability of the electroencephalogram (EEG) acquisition equipments, we propose a novel image reconstruction method based on EEG signals in this paper.
Lateral Control of Brain-Controlled Vehicle Based on SVM Probability Output Model
In this paper, by combining steady-state visual evoked potential (SSVEP) interactive interface, brain instructions generation module and vehicle lateral control module, a probabilistic output model based on support vector machine (SVM) is proposed for BCV lateral control to improve the driving performance.
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