IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
Analysis and Processing Technologies for Ambient Intelligence with Internet of Things
Mobile Brainwaves: On the Interchangeability of Simple Authentication Tasks with Low-Cost, Single-Electrode EEG Devices
Eeva-Sofia HAUKIPUROVille KOLEHMAINENJanne MYLLÄRINENSebastian REMANDERJanne SALOTuomas TAKKOLe Ngu NGUYENStephan SIGGRainhard Dieter FINDLING
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2019 Volume E102.B Issue 4 Pages 760-767

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Abstract

Biometric authentication, namely using biometric features for authentication is gaining popularity in recent years as further modalities, such as fingerprint, iris, face, voice, gait, and others are exploited. We explore the effectiveness of three simple Electroencephalography (EEG) related biometric authentication tasks, namely resting, thinking about a picture, and moving a single finger. We present details of the data processing steps we exploit for authentication, including extracting features from the frequency power spectrum and MFCC, and training a multilayer perceptron classifier for authentication. For evaluation purposes, we record an EEG dataset of 27 test subjects. We use three setups, baseline, task-agnostic, and task-specific, to investigate whether person-specific features can be detected across different tasks for authentication. We further evaluate, whether different tasks can be distinguished. Our results suggest that tasks are distinguishable, as well as that our authentication approach can work both exploiting features from a specific, fixed, task as well as using features across different tasks.

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© 2019 The Institute of Electronics, Information and Communication Engineers
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