Motor Imagery for Eeg Biometrics Using Convolutional Neural Network

Rig Das; Emanuele Maiorana; Patrizio Campisi

ICASSP 2018accepted0 citations

Motor Imagery for Eeg Biometrics Using Convolutional Neural Network

Rig Das, Emanuele Maiorana, Patrizio Campisi

Abstract

This paper deals with electroencephalography (EEG)-based biometric identification, using a motor imagery task, specifically performing imaginary arms and legs movements. Deep learning methods such as convolutional neural network (CNN) is used for automatic discriminative feature extraction and person identification. An extensive set of experimental tests, performed on a large database comprising EEG data collected from 40 subjects over two different sessions taken at a week distance, shows the existence of repeatable discriminative characteristics in individuals' brain signals.

BibTeX

@inproceedings{icassp2018_motorimageryfore,
  title = {Motor Imagery for Eeg Biometrics Using Convolutional Neural Network},
  author = {Rig Das and Emanuele Maiorana and Patrizio Campisi},
  booktitle = {ICASSP 2018},
  year = {2018}
}