Quality filtering of EEG signals for enhanced biometric recognition
| dc.contributor.author | Yang, Su | |
| dc.contributor.author | Deravi, Farzin | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Busch, Christoph | |
| dc.date.accessioned | 2018-10-31T12:33:57Z | |
| dc.date.available | 2018-10-31T12:33:57Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | In this paper we present a biometric person recognition system based on EEG signals incorporating a novel strategy to find and utilize the most informative data segments using the concept of Sample Entropy. The users are presented with a stimulus that prompts a motor-imagery response. This is then measured using an array of EEG sensors. A sliding-window segmentation scheme and Wavelet Packet Decomposition are adopted for primary feature extraction before the quality measurement stage. The quality-filtered feature windows are then used to extract secondary features that are in turn classified using a linear discriminant classifier. The proposed system is tested using a publicly available EEG database and it shows that entropy filtering results in a significant improvement on performance. An average identification accuracy rate of more than 90% is achieved for 109 subjects using only eight electrodes, utilizing only the highest quality for each subject | en |
| dc.identifier.isbn | 978-3-88579-606-0 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/17669 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BIOSIG 2013 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-212 | |
| dc.title | Quality filtering of EEG signals for enhanced biometric recognition | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 208 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 201 | |
| gi.conference.date | 04.-06. September 2013 | |
| gi.conference.location | Darmstadt | |
| gi.conference.sessiontitle | Regular Research Papers |
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