Eigenbrains and Eigentensorbrains: Parsimonious bases for EEG biometrics
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- 作者：Emanuele Maiorana ; emanuele.maiorana@uniroma3.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Daria La Rocca daria.larocca@uniroma3.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Patrizio Campisi patrizio.campisi@uniroma3.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Brain waves ; EEG ; Biometrics ; PCA ; MPCA ; Tensor analysis
- 刊名：Neurocomputing
- 出版年：2016
- 出版时间：1 January 2016
- 年：2016
- 卷：171
- 期：Complete
- 页码：638-648
- 全文大小：2283 K
文摘
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Two novel parsimonious EEG representations proposed for biometric recognition.
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Performance evaluated on EEG data taken in two distinct sessions from 30 subjects.
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Analysis of the discriminability of distinct EEG sub-bands, with several classifiers.
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LDA improves the performance if applied to either ETB or EB representations.
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For recognition, ETB projections better than EB, EC resting conditions better than EO.