An Investigation of Ear-EEG Signals for a Novel Biometric Authentication System

• URL: http://arxiv.org/abs/2507.12873v1
• Date: Thu, 17 Jul 2025 07:48:05 GMT
• Title: An Investigation of Ear-EEG Signals for a Novel Biometric Authentication System
• Authors: Danilo Avola, Giancarlo Crocetti, Gian Luca Foresti, Daniele Pannone, Claudio Piciarelli, Amedeo Ranaldi,
• Abstract summary: biometric authentication using EEG signals acquired through in-ear devices, commonly referred to as ear-EEG.<n>Traditional EEG-based biometric systems, while secure, often suffer from low usability due to cumbersome scalp-based electrode setups.<n>We propose a novel and practical framework leveraging ear-EEG signals as a user-friendly alternative for everyday biometric authentication.
• Score: 13.251967285967673
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This work explores the feasibility of biometric authentication using EEG signals acquired through in-ear devices, commonly referred to as ear-EEG. Traditional EEG-based biometric systems, while secure, often suffer from low usability due to cumbersome scalp-based electrode setups. In this study, we propose a novel and practical framework leveraging ear-EEG signals as a user-friendly alternative for everyday biometric authentication. The system extracts an original combination of temporal and spectral features from ear-EEG signals and feeds them into a fully connected deep neural network for subject identification. Experimental results on the only currently available ear-EEG dataset suitable for different purposes, including biometric authentication, demonstrate promising performance, with an average accuracy of 82\% in a subject identification scenario. These findings confirm the potential of ear-EEG as a viable and deployable direction for next-generation real-world biometric systems.

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