High order moment features for NIRS-based classification problems

Tuan Hoang; Dat Tran; Khoa Truong; Phuoc Nguyen; Toi Vo Van; Xu Huang; Dharmendra SHARMA

doi:10.1007/978-3-642-32183-2_2

High order moment features for NIRS-based classification problems

Tuan Hoang, Dat Tran, Khoa Truong, Phuoc Nguyen, Toi Vo Van, Xu Huang, Dharmendra SHARMA

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

2 Citations (Scopus)

Abstract

This paper aims to experiment high order moment features in two well-known problems which are motor imagery and person authentication in Brain Computer Interface (BCI) systems using Near Infrared Spectroscopy (NIRS) technique. To improve performance of the systems, we propose a new feature by combining 2 ^nd order and 4^th order moments of signal together. Our results show that such the feature not only achieves very high recall and precision ratios but also is practical for online NIRS-based BCI systems. Our systems can achieve recall and precision ratio at 99.2% for the left-hand and right-hand imagery problem, and up to 100% for the person authentication problem.

Original language	English
Title of host publication	4th International Conference on Biomedical Engineering in Vietnam
Editors	Toi Van Vo, Nguyen Bao Toan, Troung Quang Dang Khoa, Tran Ha Lien Phoung
Place of Publication	Vietnam
Publisher	Springer
Pages	4-7
Number of pages	4
Volume	40 IFMBE
ISBN (Electronic)	9783642321832
ISBN (Print)	9783642321825
DOIs	https://doi.org/10.1007/978-3-642-32183-2_2
Publication status	Published - 1 Jan 2013
Event	4th International Conference on the Development of Biomedical Engineering in Vietnam - Ho Chi Minh City, Viet Nam Duration: 8 Jan 2012 → 10 Jan 2012

Conference

Conference	4th International Conference on the Development of Biomedical Engineering in Vietnam
Country/Territory	Viet Nam
City	Ho Chi Minh City
Period	8/01/12 → 10/01/12

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10.1007/978-3-642-32183-2_2

Cite this

@inproceedings{26fb474b752144028887e687173b6f2b,

title = "High order moment features for NIRS-based classification problems",

abstract = "This paper aims to experiment high order moment features in two well-known problems which are motor imagery and person authentication in Brain Computer Interface (BCI) systems using Near Infrared Spectroscopy (NIRS) technique. To improve performance of the systems, we propose a new feature by combining 2 nd order and 4th order moments of signal together. Our results show that such the feature not only achieves very high recall and precision ratios but also is practical for online NIRS-based BCI systems. Our systems can achieve recall and precision ratio at 99.2% for the left-hand and right-hand imagery problem, and up to 100% for the person authentication problem.",

keywords = "Brain Computer Interface, high order moment, motor imagery, NIRS-based BCI, person authentication",

author = "Tuan Hoang and Dat Tran and Khoa Truong and Phuoc Nguyen and {Vo Van}, Toi and Xu Huang and Dharmendra SHARMA",

year = "2013",

month = jan,

day = "1",

doi = "10.1007/978-3-642-32183-2_2",

language = "English",

isbn = "9783642321825",

volume = "40 IFMBE",

pages = "4--7",

editor = "{Van Vo}, Toi and Toan, {Nguyen Bao} and Khoa, {Troung Quang Dang} and Phoung, {Tran Ha Lien}",

booktitle = "4th International Conference on Biomedical Engineering in Vietnam",

publisher = "Springer",

address = "Netherlands",

note = "4th International Conference on the Development of Biomedical Engineering in Vietnam ; Conference date: 08-01-2012 Through 10-01-2012",

}

Hoang, T, Tran, D, Truong, K, Nguyen, P, Vo Van, T, Huang, X & SHARMA, D 2013, High order moment features for NIRS-based classification problems. in T Van Vo, NB Toan, TQD Khoa & THL Phoung (eds), 4th International Conference on Biomedical Engineering in Vietnam. vol. 40 IFMBE, Springer, Vietnam, pp. 4-7, 4th International Conference on the Development of Biomedical Engineering in Vietnam, Ho Chi Minh City, Viet Nam, 8/01/12. https://doi.org/10.1007/978-3-642-32183-2_2

High order moment features for NIRS-based classification problems. / Hoang, Tuan; Tran, Dat; Truong, Khoa et al.
4th International Conference on Biomedical Engineering in Vietnam. ed. / Toi Van Vo; Nguyen Bao Toan; Troung Quang Dang Khoa; Tran Ha Lien Phoung. Vol. 40 IFMBE Vietnam: Springer, 2013. p. 4-7.

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

TY - GEN

T1 - High order moment features for NIRS-based classification problems

AU - Hoang, Tuan

AU - Tran, Dat

AU - Truong, Khoa

AU - Nguyen, Phuoc

AU - Vo Van, Toi

AU - Huang, Xu

AU - SHARMA, Dharmendra

PY - 2013/1/1

Y1 - 2013/1/1

N2 - This paper aims to experiment high order moment features in two well-known problems which are motor imagery and person authentication in Brain Computer Interface (BCI) systems using Near Infrared Spectroscopy (NIRS) technique. To improve performance of the systems, we propose a new feature by combining 2 nd order and 4th order moments of signal together. Our results show that such the feature not only achieves very high recall and precision ratios but also is practical for online NIRS-based BCI systems. Our systems can achieve recall and precision ratio at 99.2% for the left-hand and right-hand imagery problem, and up to 100% for the person authentication problem.

AB - This paper aims to experiment high order moment features in two well-known problems which are motor imagery and person authentication in Brain Computer Interface (BCI) systems using Near Infrared Spectroscopy (NIRS) technique. To improve performance of the systems, we propose a new feature by combining 2 nd order and 4th order moments of signal together. Our results show that such the feature not only achieves very high recall and precision ratios but also is practical for online NIRS-based BCI systems. Our systems can achieve recall and precision ratio at 99.2% for the left-hand and right-hand imagery problem, and up to 100% for the person authentication problem.

KW - Brain Computer Interface

KW - high order moment

KW - motor imagery

KW - NIRS-based BCI

KW - person authentication

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U2 - 10.1007/978-3-642-32183-2_2

DO - 10.1007/978-3-642-32183-2_2

M3 - Conference contribution

SN - 9783642321825

VL - 40 IFMBE

SP - 4

EP - 7

BT - 4th International Conference on Biomedical Engineering in Vietnam

A2 - Van Vo, Toi

A2 - Toan, Nguyen Bao

A2 - Khoa, Troung Quang Dang

A2 - Phoung, Tran Ha Lien

PB - Springer

CY - Vietnam

T2 - 4th International Conference on the Development of Biomedical Engineering in Vietnam

Y2 - 8 January 2012 through 10 January 2012

ER -

High order moment features for NIRS-based classification problems

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