Impact of EEG Frequency Bands and Data Separation on the Performance of Person Verification Employing Neural Networks

Impact of EEG Frequency Bands and Data Separation on the Performance of Person Verification Employing Neural Networks

The paper is devoted to the study of EEG-based people verification. Analyzed solutions employed shallow artificial neural networks using spectral EEG features as input representation. We investigated the impact of the features derived from different frequency bands and their combination on verificat...

Full description

Bibliographic Details
Main Authors: Renata Plucińska, Konrad Jędrzejewski, Marek Waligóra, Urszula Malinowska, Jacek Rogala
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
EEG
electroencephalography
biometry
verification
neural network
Online Access:https://www.mdpi.com/1424-8220/22/15/5529

Internet

https://www.mdpi.com/1424-8220/22/15/5529

Similar Items