用耳道脑电波做生物识别，轻松又安全
An Investigation of Ear-EEG Signals for a Novel Biometric Authentication System
- 用耳塞式设备采集脑电信号，结合时频特征识别身份
- 在公开数据集上实现82%平均识别准确率
- 适合日常使用，比传统头皮电极更便捷
本研究探索了通过耳道脑电图（ear-EEG）实现生物识别认证的可行性。传统基于头皮电极的脑电生物识别系统虽安全，但佩戴不便。本文提出一种新型实用框架，利用耳塞式设备采集的 ear-EEG 信号，提取其时域与频域组合特征，并输入全连接深度神经网络进行身份识别。在目前唯一适用于多种用途（包括生物识别）的 ear-EEG 数据集上实验，结果表明在用户识别任务中平均准确率达82%。这些发现证实 ear-EEG 作为下一代真实场景生物识别系统的可行且可部署方向。
原文摘要 · Abstract (English)
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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