Phase Synchrony for Human Implicit Intent Differentiation

Ukeob Park; Kalyana C. Veluvolu; Minho Lee

doi:10.1007/978-3-642-42054-2_53

Phase Synchrony for Human Implicit Intent Differentiation

Ukeob Park
, Kalyana C. Veluvolu
, Minho Lee

School of Electronics Engineering

Kyungpook National University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper focuses on discriminating user's intent to real images based on phase synchrony in EEG. The goal is to differentiate user's navigational intention and informational intention with real world scenario's. In this paper, we first calculate Phase locking Value (PLV) between all electrode pairs in EEG collection montage. We identified several most significant pairs (MSP) to construct brain functional connectivity patterns in different bands, theta band (4-7Hz), alpha (8-13Hz), beta-1 (14-22Hz), beta-2 (23-30Hz). Based on the PLV variation in the selected MSP's, the user intent can be classified. This paper demonstrates the potential of these identified brain electrode pairs in cognitive detection and task classification for future BCI applications.

Original language	English
Title of host publication	Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings
Pages	427-433
Number of pages	7
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-42054-2_53
State	Published - 2013
Event	20th International Conference on Neural Information Processing, ICONIP 2013 - Daegu, Korea, Republic of Duration: 3 Nov 2013 → 7 Nov 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	8226 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Neural Information Processing, ICONIP 2013
Country/Territory	Korea, Republic of
City	Daegu
Period	3/11/13 → 7/11/13

Keywords

Brain connectivity
Brain-computer interface (BCI)
Electroencephalographic (EEG)
Intent recognition
Phase synchrony

Access to Document

10.1007/978-3-642-42054-2_53

Cite this

Park, U., Veluvolu, K. C., & Lee, M. (2013). Phase Synchrony for Human Implicit Intent Differentiation. In Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings (PART 1 ed., pp. 427-433). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8226 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-42054-2_53

Park, Ukeob ; Veluvolu, Kalyana C. ; Lee, Minho. / Phase Synchrony for Human Implicit Intent Differentiation. Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 1. ed. 2013. pp. 427-433 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{196ba231f18441c4ac4c2d30ffd14951,

title = "Phase Synchrony for Human Implicit Intent Differentiation",

abstract = "This paper focuses on discriminating user's intent to real images based on phase synchrony in EEG. The goal is to differentiate user's navigational intention and informational intention with real world scenario's. In this paper, we first calculate Phase locking Value (PLV) between all electrode pairs in EEG collection montage. We identified several most significant pairs (MSP) to construct brain functional connectivity patterns in different bands, theta band (4-7Hz), alpha (8-13Hz), beta-1 (14-22Hz), beta-2 (23-30Hz). Based on the PLV variation in the selected MSP's, the user intent can be classified. This paper demonstrates the potential of these identified brain electrode pairs in cognitive detection and task classification for future BCI applications.",

keywords = "Brain connectivity, Brain-computer interface (BCI), Electroencephalographic (EEG), Intent recognition, Phase synchrony",

author = "Ukeob Park and Veluvolu, \{Kalyana C.\} and Minho Lee",

year = "2013",

doi = "10.1007/978-3-642-42054-2\_53",

language = "English",

isbn = "9783642420535",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 1",

pages = "427--433",

booktitle = "Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings",

edition = "PART 1",

note = "20th International Conference on Neural Information Processing, ICONIP 2013 ; Conference date: 03-11-2013 Through 07-11-2013",

}

Park, U, Veluvolu, KC & Lee, M 2013, Phase Synchrony for Human Implicit Intent Differentiation. in Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 8226 LNCS, pp. 427-433, 20th International Conference on Neural Information Processing, ICONIP 2013, Daegu, Korea, Republic of, 3/11/13. https://doi.org/10.1007/978-3-642-42054-2_53

Phase Synchrony for Human Implicit Intent Differentiation. / Park, Ukeob; Veluvolu, Kalyana C.; Lee, Minho.
Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 1. ed. 2013. p. 427-433 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8226 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Phase Synchrony for Human Implicit Intent Differentiation

AU - Park, Ukeob

AU - Veluvolu, Kalyana C.

AU - Lee, Minho

PY - 2013

Y1 - 2013

N2 - This paper focuses on discriminating user's intent to real images based on phase synchrony in EEG. The goal is to differentiate user's navigational intention and informational intention with real world scenario's. In this paper, we first calculate Phase locking Value (PLV) between all electrode pairs in EEG collection montage. We identified several most significant pairs (MSP) to construct brain functional connectivity patterns in different bands, theta band (4-7Hz), alpha (8-13Hz), beta-1 (14-22Hz), beta-2 (23-30Hz). Based on the PLV variation in the selected MSP's, the user intent can be classified. This paper demonstrates the potential of these identified brain electrode pairs in cognitive detection and task classification for future BCI applications.

AB - This paper focuses on discriminating user's intent to real images based on phase synchrony in EEG. The goal is to differentiate user's navigational intention and informational intention with real world scenario's. In this paper, we first calculate Phase locking Value (PLV) between all electrode pairs in EEG collection montage. We identified several most significant pairs (MSP) to construct brain functional connectivity patterns in different bands, theta band (4-7Hz), alpha (8-13Hz), beta-1 (14-22Hz), beta-2 (23-30Hz). Based on the PLV variation in the selected MSP's, the user intent can be classified. This paper demonstrates the potential of these identified brain electrode pairs in cognitive detection and task classification for future BCI applications.

KW - Brain connectivity

KW - Brain-computer interface (BCI)

KW - Electroencephalographic (EEG)

KW - Intent recognition

KW - Phase synchrony

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U2 - 10.1007/978-3-642-42054-2_53

DO - 10.1007/978-3-642-42054-2_53

M3 - Conference contribution

AN - SCOPUS:84893383198

SN - 9783642420535

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings

T2 - 20th International Conference on Neural Information Processing, ICONIP 2013

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Park U, Veluvolu KC, Lee M. Phase Synchrony for Human Implicit Intent Differentiation. In Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 1 ed. 2013. p. 427-433. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-42054-2_53

Phase Synchrony for Human Implicit Intent Differentiation

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Keywords

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