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EEG Fingerprints under Naturalistic Viewing Using a Portable Device
The electroencephalogram (EEG) has been proven to be a promising technique for personal identification and verification. Recently, the aperiodic component of the power spectrum was shown to outperform other commonly used EEG features. Beyond that, EEG characteristics may capture relevant features re...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698321/ https://www.ncbi.nlm.nih.gov/pubmed/33212929 http://dx.doi.org/10.3390/s20226565 |
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author | Fraschini, Matteo Meli, Miro Demuru, Matteo Didaci, Luca Barberini, Luigi |
author_facet | Fraschini, Matteo Meli, Miro Demuru, Matteo Didaci, Luca Barberini, Luigi |
author_sort | Fraschini, Matteo |
collection | PubMed |
description | The electroencephalogram (EEG) has been proven to be a promising technique for personal identification and verification. Recently, the aperiodic component of the power spectrum was shown to outperform other commonly used EEG features. Beyond that, EEG characteristics may capture relevant features related to emotional states. In this work, we aim to understand if the aperiodic component of the power spectrum, as shown for resting-state experimental paradigms, is able to capture EEG-based subject-specific features in a naturalistic stimuli scenario. In order to answer this question, we performed an analysis using two freely available datasets containing EEG recordings from participants during viewing of film clips that aim to trigger different emotional states. Our study confirms that the aperiodic components of the power spectrum, as evaluated in terms of offset and exponent parameters, are able to detect subject-specific features extracted from the scalp EEG. In particular, our results show that the performance of the system was significantly higher for the film clip scenario if compared with resting-state, thus suggesting that under naturalistic stimuli it is even easier to identify a subject. As a consequence, we suggest a paradigm shift, from task-based or resting-state to naturalistic stimuli, when assessing the performance of EEG-based biometric systems. |
format | Online Article Text |
id | pubmed-7698321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76983212020-11-29 EEG Fingerprints under Naturalistic Viewing Using a Portable Device Fraschini, Matteo Meli, Miro Demuru, Matteo Didaci, Luca Barberini, Luigi Sensors (Basel) Letter The electroencephalogram (EEG) has been proven to be a promising technique for personal identification and verification. Recently, the aperiodic component of the power spectrum was shown to outperform other commonly used EEG features. Beyond that, EEG characteristics may capture relevant features related to emotional states. In this work, we aim to understand if the aperiodic component of the power spectrum, as shown for resting-state experimental paradigms, is able to capture EEG-based subject-specific features in a naturalistic stimuli scenario. In order to answer this question, we performed an analysis using two freely available datasets containing EEG recordings from participants during viewing of film clips that aim to trigger different emotional states. Our study confirms that the aperiodic components of the power spectrum, as evaluated in terms of offset and exponent parameters, are able to detect subject-specific features extracted from the scalp EEG. In particular, our results show that the performance of the system was significantly higher for the film clip scenario if compared with resting-state, thus suggesting that under naturalistic stimuli it is even easier to identify a subject. As a consequence, we suggest a paradigm shift, from task-based or resting-state to naturalistic stimuli, when assessing the performance of EEG-based biometric systems. MDPI 2020-11-17 /pmc/articles/PMC7698321/ /pubmed/33212929 http://dx.doi.org/10.3390/s20226565 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Letter Fraschini, Matteo Meli, Miro Demuru, Matteo Didaci, Luca Barberini, Luigi EEG Fingerprints under Naturalistic Viewing Using a Portable Device |
title | EEG Fingerprints under Naturalistic Viewing Using a Portable Device |
title_full | EEG Fingerprints under Naturalistic Viewing Using a Portable Device |
title_fullStr | EEG Fingerprints under Naturalistic Viewing Using a Portable Device |
title_full_unstemmed | EEG Fingerprints under Naturalistic Viewing Using a Portable Device |
title_short | EEG Fingerprints under Naturalistic Viewing Using a Portable Device |
title_sort | eeg fingerprints under naturalistic viewing using a portable device |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698321/ https://www.ncbi.nlm.nih.gov/pubmed/33212929 http://dx.doi.org/10.3390/s20226565 |
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