Convolutional Neural Networks Using Dynamic Functional Connectivity for EEG-Based Person Identification in Diverse Human States

Volume: 14, Issue: 12, Pages: 3259 - 3272
Published: Dec 1, 2019
Abstract
Highly secure access control requires Swiss-cheese-type multi-layer security protocols. The use of electroencephalogram (EEG) to provide cognitive indicators for human workload and fatigue has created environments where the EEG data are well-integrated into systems, making it readily available for more forms of innovative uses including biometrics. However, most of the existing studies on EEG biometrics rely on resting state signals or require...
Paper Details
Title
Convolutional Neural Networks Using Dynamic Functional Connectivity for EEG-Based Person Identification in Diverse Human States
Published Date
Dec 1, 2019
Volume
14
Issue
12
Pages
3259 - 3272
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