Investigating the Impacts of Brain Conditions on EEG-Based Person Identification

Dinh PHUNG; Dat TRAN; Wanli MA; Tien PHAM

doi:10.1007/978-3-319-19713-5_13

Investigating the Impacts of Brain Conditions on EEG-Based Person Identification

Dinh PHUNG, Dat TRAN, Wanli MA, Tien PHAM

Information Systems

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

Abstract

Person identification using electroencephalogram (EEG) as biometric has been widely used since it is capable of achieving high identification rate. Brain conditions such as epilepsy and alcohol are some of problems that cause brain disorders in EEG signals, and hence they may have impacts on EEG-based person identification systems. However, this issue has not been investigated. In this paper, we perform person identification on two datasets, Australian and Alcoholism EEG, then compare the classification rates between epileptic and non-epileptic groups, and between alcoholic and non-alcoholic groups, to investigate the impacts of such brain conditions on the identification rates. Shannon (SEn), Spectral (SpEn), Approximate entropy (ApEn), Sample (SampEn) and Conditional (CEn) entropy are employed to extract features from these two datasets. Experimental results show that both epilepsy and alcohol actually have different impacts depending on feature extraction method used in the system.

Original language	English
Title of host publication	International Joint Conference CISIS 2015 and ICEUTE 2015
Editors	Alvaro Herrero, Bruno Baruque, Javier Sedano, Hector Quintian, Emilio Corchado
Publisher	Springer
Pages	145-155
Number of pages	11
Volume	369
ISBN (Electronic)	9783319197135
ISBN (Print)	9783319197128
DOIs	https://doi.org/10.1007/978-3-319-19713-5_13
Publication status	Published - 27 May 2015
Event	The 8th International Conference on Computational Intelligence in Security for Information Systems - http://cisis.usal.es , Burgos, Spain Duration: 15 Jun 2015 → 17 Jun 2015 http://cisis.usal.es

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	369
ISSN (Print)	2194-5357

Conference

Conference	The 8th International Conference on Computational Intelligence in Security for Information Systems
Abbreviated title	CISIS 2015
Country/Territory	Spain
City	Burgos
Period	15/06/15 → 17/06/15
Internet address	http://cisis.usal.es

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-319-19713-5_13

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PHUNG, D., TRAN, D., MA, W., & PHAM, T. (2015). Investigating the Impacts of Brain Conditions on EEG-Based Person Identification. In A. Herrero, B. Baruque, J. Sedano, H. Quintian, & E. Corchado (Eds.), International Joint Conference CISIS 2015 and ICEUTE 2015 (Vol. 369, pp. 145-155). (Advances in Intelligent Systems and Computing; Vol. 369). Springer. https://doi.org/10.1007/978-3-319-19713-5_13

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title = "Investigating the Impacts of Brain Conditions on EEG-Based Person Identification",

abstract = "Person identification using electroencephalogram (EEG) as biometric has been widely used since it is capable of achieving high identification rate. Brain conditions such as epilepsy and alcohol are some of problems that cause brain disorders in EEG signals, and hence they may have impacts on EEG-based person identification systems. However, this issue has not been investigated. In this paper, we perform person identification on two datasets, Australian and Alcoholism EEG, then compare the classification rates between epileptic and non-epileptic groups, and between alcoholic and non-alcoholic groups, to investigate the impacts of such brain conditions on the identification rates. Shannon (SEn), Spectral (SpEn), Approximate entropy (ApEn), Sample (SampEn) and Conditional (CEn) entropy are employed to extract features from these two datasets. Experimental results show that both epilepsy and alcohol actually have different impacts depending on feature extraction method used in the system.",

keywords = "Support Vector Machine, Epileptic Seizure, Person Identification, Entropy Method, Brain Condition",

author = "Dinh PHUNG and Dat TRAN and Wanli MA and Tien PHAM",

year = "2015",

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doi = "10.1007/978-3-319-19713-5_13",

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booktitle = "International Joint Conference CISIS 2015 and ICEUTE 2015",

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note = "The 8th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2015 ; Conference date: 15-06-2015 Through 17-06-2015",

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PHUNG, D, TRAN, D, MA, W & PHAM, T 2015, Investigating the Impacts of Brain Conditions on EEG-Based Person Identification. in A Herrero, B Baruque, J Sedano, H Quintian & E Corchado (eds), International Joint Conference CISIS 2015 and ICEUTE 2015. vol. 369, Advances in Intelligent Systems and Computing, vol. 369, Springer, pp. 145-155, The 8th International Conference on Computational Intelligence in Security for Information Systems, Burgos, Spain, 15/06/15. https://doi.org/10.1007/978-3-319-19713-5_13

Investigating the Impacts of Brain Conditions on EEG-Based Person Identification. / PHUNG, Dinh; TRAN, Dat; MA, Wanli et al.
International Joint Conference CISIS 2015 and ICEUTE 2015. ed. / Alvaro Herrero; Bruno Baruque; Javier Sedano; Hector Quintian; Emilio Corchado. Vol. 369 Springer, 2015. p. 145-155 (Advances in Intelligent Systems and Computing; Vol. 369).

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

TY - GEN

T1 - Investigating the Impacts of Brain Conditions on EEG-Based Person Identification

AU - PHUNG, Dinh

AU - TRAN, Dat

AU - MA, Wanli

AU - PHAM, Tien

PY - 2015/5/27

Y1 - 2015/5/27

N2 - Person identification using electroencephalogram (EEG) as biometric has been widely used since it is capable of achieving high identification rate. Brain conditions such as epilepsy and alcohol are some of problems that cause brain disorders in EEG signals, and hence they may have impacts on EEG-based person identification systems. However, this issue has not been investigated. In this paper, we perform person identification on two datasets, Australian and Alcoholism EEG, then compare the classification rates between epileptic and non-epileptic groups, and between alcoholic and non-alcoholic groups, to investigate the impacts of such brain conditions on the identification rates. Shannon (SEn), Spectral (SpEn), Approximate entropy (ApEn), Sample (SampEn) and Conditional (CEn) entropy are employed to extract features from these two datasets. Experimental results show that both epilepsy and alcohol actually have different impacts depending on feature extraction method used in the system.

AB - Person identification using electroencephalogram (EEG) as biometric has been widely used since it is capable of achieving high identification rate. Brain conditions such as epilepsy and alcohol are some of problems that cause brain disorders in EEG signals, and hence they may have impacts on EEG-based person identification systems. However, this issue has not been investigated. In this paper, we perform person identification on two datasets, Australian and Alcoholism EEG, then compare the classification rates between epileptic and non-epileptic groups, and between alcoholic and non-alcoholic groups, to investigate the impacts of such brain conditions on the identification rates. Shannon (SEn), Spectral (SpEn), Approximate entropy (ApEn), Sample (SampEn) and Conditional (CEn) entropy are employed to extract features from these two datasets. Experimental results show that both epilepsy and alcohol actually have different impacts depending on feature extraction method used in the system.

KW - Support Vector Machine

KW - Epileptic Seizure

KW - Person Identification

KW - Entropy Method

KW - Brain Condition

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DO - 10.1007/978-3-319-19713-5_13

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SN - 9783319197128

VL - 369

T3 - Advances in Intelligent Systems and Computing

SP - 145

EP - 155

BT - International Joint Conference CISIS 2015 and ICEUTE 2015

A2 - Herrero, Alvaro

A2 - Baruque, Bruno

A2 - Sedano, Javier

A2 - Quintian, Hector

A2 - Corchado, Emilio

PB - Springer

T2 - The 8th International Conference on Computational Intelligence in Security for Information Systems

Y2 - 15 June 2015 through 17 June 2015

ER -

Investigating the Impacts of Brain Conditions on EEG-Based Person Identification

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