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
SN - 0916-8516
VL - E102-B
SP - 760
EP - 767
JO - IEICE Transactions on Communications
JF - IEICE Transactions on Communications
IS - 4
ER -