A Study of Combined Lossy Compression and Person Identification on EEG Signals

Binh Nguyen, Wanli Ma, Dat Tran

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)

Abstract

Biometric information extracted from electroencephalogram (EEG) signals is being used increasingly in person identification systems thanks to several advantages, compared to traditional ones such as fingerprint, face and voice. However, one of the major challenges is that a huge amount of EEG data needs to be processed, transmitted and stored. The use of EEG compression is therefore becoming necessary. Although the lossy compression technique gives a higher Compression Ratio (CR) than lossless ones, they introduce the loss of information in recovered signals, which may affect to the performance of EEG-based person identification systems. In this paper, we investigate the impact of lossy compression on EEG data used in EEG-based person identification systems. Experimental results demonstrate that in the best case, CR could achieve up to 70 with minimal loss of person identification performance, and using EEG lossy compression is feasible compared to using lossless one.

Original languageEnglish
Title of host publicationInternational Joint Conference SOCO’18-CISIS’18-ICEUTE’18, San Sebastian, Spain, June 6-8 Proceedings
EditorsManuel Grana, Jose Manuel Lopez-Guede, Oier Etxaniz, Alvaro Herrero, Jose Antonio Saez, Hector Quintian, Emilio Corchado
Place of PublicationCham, Switzerland
PublisherSpringer
Pages449-458
Number of pages10
Volume771
ISBN (Electronic)9783319941202
ISBN (Print)9783319941196
DOIs
Publication statusPublished - 7 Jun 2018
EventInternational Joint Conference: 13th International Conference on Soft Computing Models, SOCO 2018, 11th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2018 and 9th International Conference on EUropean Transnational Education, ICEUTE 2018 - san sebastian, Spain
Duration: 6 Jun 20188 Jun 2018

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer, Cham
Volume771
ISSN (Print)2194-5357

Conference

ConferenceInternational Joint Conference: 13th International Conference on Soft Computing Models, SOCO 2018, 11th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2018 and 9th International Conference on EUropean Transnational Education, ICEUTE 2018
CountrySpain
Citysan sebastian
Period6/06/188/06/18

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Nguyen, B., Ma, W., & Tran, D. (2018). A Study of Combined Lossy Compression and Person Identification on EEG Signals. In M. Grana, J. M. Lopez-Guede, O. Etxaniz, A. Herrero, J. A. Saez, H. Quintian, & E. Corchado (Eds.), International Joint Conference SOCO’18-CISIS’18-ICEUTE’18, San Sebastian, Spain, June 6-8 Proceedings (Vol. 771, pp. 449-458). (Advances in Intelligent Systems and Computing; Vol. 771). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-94120-2_43