ETST: EEG Transformer for Person Identification

Abstract excerpt

An increasing number of studies have been devoted to the use of electroencephalogram(EEG) for identity recognition due to the properties of EEG signals that are not easily stolen. Most of the existing studies on EEG person identification have only studied brain signals in a single state, requiring specific and repetitive sensory stimuli. However, the reality of human states is diverse and rapidly changing, which l...

Topics

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• Algorithms
• Deep Learning
• Electrocardiography
• Phenotype
• Recognition, Psychology

Identifiers and source

Literature Corpus work

141f47b9-e583-5bee-aad7-139c68b22ca3

DOI

10.21203/rs.3.rs-1545508/v1