Sensors, Vol. 20, Pages 6565: EEG Fingerprints under Naturalistic Viewing Using a Portable Device

Sensors, Vol. 20, Pages 6565: EEG Fingerprints under Naturalistic Viewing Using a Portable Device
Sensors doi: 10.3390/s20226565
Authors:
Matteo Fraschini
Miro Meli
Matteo Demuru
Luca Didaci
Luigi Barberini

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 ...

Source: Sensors - November 17, 2020 Category: Biotechnology Authors: Matteo Fraschini Miro Meli Matteo Demuru Luca Didaci Luigi Barberini Tags: Letter Source Type: research