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

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Mobile Brainwaves : On the Interchangeability of Simple authentication Tasks with Low-Cost, Single-Electrode EEG Devices. / Haukipuro, Eeva-Sofia; Kolehmainen, Ville; Myllärinen, Janne ; Remander, Sebastian ; Salo, Janne; Takko, Tuomas; Nguyen, Le; Sigg, Stephan; Findling, Rainhard.

In: IEICE Transactions on Communications, Vol. E102-B, No. 4, 01.04.2019, p. 760-767.

Research output: Contribution to journalArticleScientificpeer-review

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Haukipuro, E-S., Kolehmainen, V., Myllärinen, J., Remander, S., Salo, J., Takko, T., ... Findling, R. (2019). Mobile Brainwaves: On the Interchangeability of Simple authentication Tasks with Low-Cost, Single-Electrode EEG Devices. IEICE Transactions on Communications, E102-B(4), 760-767. https://doi.org/10.1587/transcom.2018SEP0016

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Haukipuro, Eeva-Sofia ; Kolehmainen, Ville ; Myllärinen, Janne ; Remander, Sebastian ; Salo, Janne ; Takko, Tuomas ; Nguyen, Le ; Sigg, Stephan ; Findling, Rainhard. / Mobile Brainwaves : On the Interchangeability of Simple authentication Tasks with Low-Cost, Single-Electrode EEG Devices. In: IEICE Transactions on Communications. 2019 ; Vol. E102-B, No. 4. pp. 760-767.

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@article{98dbebf4d5744e12bf0780627bfba599,
title = "Mobile Brainwaves: On the Interchangeability of Simple authentication Tasks with Low-Cost, Single-Electrode EEG Devices",
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.",
keywords = "Biometrics, Classification, EEG, Mobile, User authentication",
author = "Eeva-Sofia Haukipuro and Ville Kolehmainen and Janne Myll{\"a}rinen and Sebastian Remander and Janne Salo and Tuomas Takko and Le Nguyen and Stephan Sigg and Rainhard Findling",
year = "2019",
month = "4",
day = "1",
doi = "10.1587/transcom.2018SEP0016",
language = "English",
volume = "E102-B",
pages = "760--767",
journal = "IEICE Transactions on Communications",
issn = "0916-8516",
publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",
number = "4",

}

RIS - Download

TY - JOUR

T1 - Mobile Brainwaves

T2 - On the Interchangeability of Simple authentication Tasks with Low-Cost, Single-Electrode EEG Devices

AU - Haukipuro, Eeva-Sofia

AU - Kolehmainen, Ville

AU - Myllärinen, Janne

AU - Remander, Sebastian

AU - Salo, Janne

AU - Takko, Tuomas

AU - Nguyen, Le

AU - Sigg, Stephan

AU - Findling, Rainhard

PY - 2019/4/1

Y1 - 2019/4/1

N2 - 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.

AB - 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.

KW - Biometrics

KW - Classification

KW - EEG

KW - Mobile

KW - User authentication

UR - http://www.scopus.com/inward/record.url?scp=85063994490&partnerID=8YFLogxK

U2 - 10.1587/transcom.2018SEP0016

DO - 10.1587/transcom.2018SEP0016

M3 - Article

VL - E102-B

SP - 760

EP - 767

JO - IEICE Transactions on Communications

JF - IEICE Transactions on Communications

SN - 0916-8516

IS - 4

ER -

ID: 31622267