@inproceedings{460caf23985644e2a4505bc123cef12d,
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 = "EEG-biometrics, person-authentication, EEG-channel-selection",
author = "Salahiddin Altahat and Michael WAGNER and {MARTINEZ MARROQUIN}, Elisa",
year = "2015",
month = apr,
day = "19",
doi = "10.1109/ICASSP.2015.7178119",
language = "English",
isbn = "9781467369978",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "997--1001",
booktitle = "Proceedings of 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
address = "United States",
note = "International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; Conference date: 19-04-2015 Through 24-04-2015",
}