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EEG Fingerprints under Naturalistic Viewing Using a Portable Device.

Matteo Fraschini¹, Miro Meli¹, Matteo Demuru²

¹Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy.

Sensors (Basel, Switzerland)

|November 20, 2020

Summary

The aperiodic component of the electroencephalogram (EEG) power spectrum effectively identifies individuals. Naturalistic stimuli, like films, enhance EEG-based biometrics performance compared to resting-state.

Keywords:

EEG emotion fingerprints naturalistic stimuli spectral analysis

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Area of Science:

Neuroscience
Biometrics
Signal Processing

Background:

Electroencephalogram (EEG) signals are increasingly utilized for personal identification.
The aperiodic component of the power spectrum shows promise as a robust EEG feature for biometrics.
Investigating EEG features in naturalistic settings is crucial for real-world applications.

Discussion:

This study explores the efficacy of EEG aperiodic spectral components for subject-specific identification during naturalistic stimuli (film viewing).
The research analyzes two publicly available datasets to validate the findings.
The aperiodic component's offset and exponent parameters are evaluated for their subject-discriminating capabilities.

Key Insights:

Aperiodic EEG spectral components successfully capture subject-specific features.
Performance in identifying subjects is significantly higher with naturalistic stimuli compared to resting-state.
This suggests naturalistic stimuli facilitate more effective EEG-based biometric identification.

Outlook:

The findings advocate for a paradigm shift towards naturalistic stimuli in evaluating EEG biometric systems.
Future research could explore diverse naturalistic scenarios and advanced signal processing techniques.
This approach may lead to more accurate and reliable brain-computer interfaces and security systems.