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MOTOR IMAGERY FOR EEG BIOMETRICS USING CONVOLUTIONAL NEURAL NETWORK

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.

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Paper Details

Authors:
Rig Das, Emanuele Maiorana, Patrizio Campisi
Submitted On:
16 April 2018 - 9:25am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Patrizio Campisi
Paper Code:
2994
Document Year:
2018
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Poster

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[1] Rig Das, Emanuele Maiorana, Patrizio Campisi, "MOTOR IMAGERY FOR EEG BIOMETRICS USING CONVOLUTIONAL NEURAL NETWORK", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2914. Accessed: Jun. 18, 2018.
@article{2914-18,
url = {http://sigport.org/2914},
author = {Rig Das; Emanuele Maiorana; Patrizio Campisi },
publisher = {IEEE SigPort},
title = {MOTOR IMAGERY FOR EEG BIOMETRICS USING CONVOLUTIONAL NEURAL NETWORK},
year = {2018} }
TY - EJOUR
T1 - MOTOR IMAGERY FOR EEG BIOMETRICS USING CONVOLUTIONAL NEURAL NETWORK
AU - Rig Das; Emanuele Maiorana; Patrizio Campisi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2914
ER -
Rig Das, Emanuele Maiorana, Patrizio Campisi. (2018). MOTOR IMAGERY FOR EEG BIOMETRICS USING CONVOLUTIONAL NEURAL NETWORK. IEEE SigPort. http://sigport.org/2914
Rig Das, Emanuele Maiorana, Patrizio Campisi, 2018. MOTOR IMAGERY FOR EEG BIOMETRICS USING CONVOLUTIONAL NEURAL NETWORK. Available at: http://sigport.org/2914.
Rig Das, Emanuele Maiorana, Patrizio Campisi. (2018). "MOTOR IMAGERY FOR EEG BIOMETRICS USING CONVOLUTIONAL NEURAL NETWORK." Web.
1. Rig Das, Emanuele Maiorana, Patrizio Campisi. MOTOR IMAGERY FOR EEG BIOMETRICS USING CONVOLUTIONAL NEURAL NETWORK [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2914