Mobile Brainwaves: On the Interchangeability of Simple authentication Tasks with Low-Cost, Single-Electrode EEG Devices

Research output: Contribution to journalArticleScientificpeer-review

Researchers

  • Eeva-Sofia Haukipuro
  • Ville Kolehmainen
  • Janne Myllärinen
  • Sebastian Remander
  • Janne Salo
  • Tuomas Takko
  • Le Nguyen

  • Stephan Sigg

  • Rainhard Findling

Research units

  • Aalto University

Abstract

SUMMARY 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.

Details

Original languageEnglish
Pages (from-to)760-767
Number of pages8
JournalIEICE Transactions on Communications
VolumeE102-B
Issue number4
Publication statusPublished - 1 Apr 2019
MoE publication typeA1 Journal article-refereed

    Research areas

  • Biometrics, Classification, EEG, Mobile, User authentication

ID: 31622267