EEG-Based Person Verification Using Multi-Sphere SVDD and UBM

Phuoc NGUYEN; Dat TRAN; Trung Le; Xu HUANG; Wanli MA

doi:10.1007/978-3-642-37453-1_24

EEG-Based Person Verification Using Multi-Sphere SVDD and UBM

Phuoc NGUYEN, Dat TRAN, Trung Le, Xu HUANG, Wanli MA

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

14 Citations (Scopus)

1 Downloads (Pure)

Abstract

The use of brain-wave patterns extracted from electroencephalography (EEG) brain signals for person verification has been investigated recently. The challenge is that the EEG signals are noisy due to low conductivity of the human skull and the EEG data have unknown distribution. We propose a multi-sphere support vector data description (MSSVDD) method to reduce noise and to provide a mixture of hyperspheres that can describe the EEG data distribution. We also propose a MSSVDD universal background model (UBM) to model impostors in person verification. Experimental results show that our proposed methods achieved lower verification error rates than other verification methods.

Original language	English
Title of host publication	Pacific-Asia Conference on Knowledge Discovery and Data Mining
Subtitle of host publication	Lecture Notes in Computer Science
Editors	Randy Goebel, Yuzuru Tanaka, Wolfgang Wahlster
Place of Publication	Australia
Publisher	Springer
Pages	289-300
Number of pages	12
Volume	7818
ISBN (Print)	9783642374524
DOIs	https://doi.org/10.1007/978-3-642-37453-1_24
Publication status	Published - 2013
Event	17th Pacific-Asia Conference on Knowledge Discovery and Data Mining - Gold Coast, Gold Coast, Australia Duration: 14 Apr 2013 → 17 Apr 2013

Conference

Conference	17th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Country/Territory	Australia
City	Gold Coast
Period	14/04/13 → 17/04/13

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10.1007/978-3-642-37453-1_24

Cite this

@inproceedings{97599a3bb04a4a8f9f986a288f6b5ba7,

title = "EEG-Based Person Verification Using Multi-Sphere SVDD and UBM",

abstract = "The use of brain-wave patterns extracted from electroencephalography (EEG) brain signals for person verification has been investigated recently. The challenge is that the EEG signals are noisy due to low conductivity of the human skull and the EEG data have unknown distribution. We propose a multi-sphere support vector data description (MSSVDD) method to reduce noise and to provide a mixture of hyperspheres that can describe the EEG data distribution. We also propose a MSSVDD universal background model (UBM) to model impostors in person verification. Experimental results show that our proposed methods achieved lower verification error rates than other verification methods.",

keywords = "Support vector data description, person verification, EEG",

author = "Phuoc NGUYEN and Dat TRAN and Trung Le and Xu HUANG and Wanli MA",

year = "2013",

doi = "10.1007/978-3-642-37453-1_24",

language = "English",

isbn = "9783642374524",

volume = "7818",

pages = "289--300",

editor = "Randy Goebel and Yuzuru Tanaka and Wolfgang Wahlster",

booktitle = "Pacific-Asia Conference on Knowledge Discovery and Data Mining",

publisher = "Springer",

address = "Netherlands",

note = "17th Pacific-Asia Conference on Knowledge Discovery and Data Mining ; Conference date: 14-04-2013 Through 17-04-2013",

}

NGUYEN, P, TRAN, D, Le, T, HUANG, X & MA, W 2013, EEG-Based Person Verification Using Multi-Sphere SVDD and UBM. in R Goebel, Y Tanaka & W Wahlster (eds), Pacific-Asia Conference on Knowledge Discovery and Data Mining: Lecture Notes in Computer Science. vol. 7818, Springer, Australia, pp. 289-300, 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Gold Coast, Queensland, Australia, 14/04/13. https://doi.org/10.1007/978-3-642-37453-1_24

EEG-Based Person Verification Using Multi-Sphere SVDD and UBM. / NGUYEN, Phuoc; TRAN, Dat; Le, Trung et al.
Pacific-Asia Conference on Knowledge Discovery and Data Mining: Lecture Notes in Computer Science. ed. / Randy Goebel; Yuzuru Tanaka; Wolfgang Wahlster. Vol. 7818 Australia: Springer, 2013. p. 289-300.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - EEG-Based Person Verification Using Multi-Sphere SVDD and UBM

AU - NGUYEN, Phuoc

AU - TRAN, Dat

AU - Le, Trung

AU - HUANG, Xu

AU - MA, Wanli

PY - 2013

Y1 - 2013

N2 - The use of brain-wave patterns extracted from electroencephalography (EEG) brain signals for person verification has been investigated recently. The challenge is that the EEG signals are noisy due to low conductivity of the human skull and the EEG data have unknown distribution. We propose a multi-sphere support vector data description (MSSVDD) method to reduce noise and to provide a mixture of hyperspheres that can describe the EEG data distribution. We also propose a MSSVDD universal background model (UBM) to model impostors in person verification. Experimental results show that our proposed methods achieved lower verification error rates than other verification methods.

AB - The use of brain-wave patterns extracted from electroencephalography (EEG) brain signals for person verification has been investigated recently. The challenge is that the EEG signals are noisy due to low conductivity of the human skull and the EEG data have unknown distribution. We propose a multi-sphere support vector data description (MSSVDD) method to reduce noise and to provide a mixture of hyperspheres that can describe the EEG data distribution. We also propose a MSSVDD universal background model (UBM) to model impostors in person verification. Experimental results show that our proposed methods achieved lower verification error rates than other verification methods.

KW - Support vector data description

KW - person verification

KW - EEG

U2 - 10.1007/978-3-642-37453-1_24

DO - 10.1007/978-3-642-37453-1_24

M3 - Conference contribution

SN - 9783642374524

VL - 7818

SP - 289

EP - 300

BT - Pacific-Asia Conference on Knowledge Discovery and Data Mining

A2 - Goebel, Randy

A2 - Tanaka, Yuzuru

A2 - Wahlster, Wolfgang

PB - Springer

CY - Australia

T2 - 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining

Y2 - 14 April 2013 through 17 April 2013

ER -

EEG-Based Person Verification Using Multi-Sphere SVDD and UBM

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