@inproceedings{2a26869b2d3f46f0b99fbd61cf57b15d,
title = "Robust electroencephalogram channel set for person authentication",
abstract = "In electroencephalogram (EEG) based biometrics, the determination of the right channel set helps improve accuracy and usability, while reducing the required number of electrodes and hence the complexity and cost of the EEG system. In this work we find a reduced set of channels designed to enhance human authentication accuracy regardless of changes in the mental task. The study shows that the resulting eight EEG channels outperform previous state of the art studies. Also the experiments and quantitative comparison are conducted in a database significantly larger (106 subjects) than the ones used previously. The suggested set half total error rate (HTER) is 14.69%.",
keywords = "Authentication, Electroencephalogram, Reduced Channel Set",
author = "Salahiddin Altahat and Michael Wagner and {Martinez Marroquin}, Elisa",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 ; Conference date: 19-04-2014 Through 24-04-2014",
year = "2015",
month = aug,
day = "4",
doi = "10.1109/ICASSP.2015.7178119",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "997--1001",
booktitle = "2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings",
address = "United States",
}