A novel approach for adaptive EEG artefact rejection and EOG gaze estimation

Mohammad Reza Haji Samadi; Neil Cooke

doi:10.1007/978-3-642-39473-7_120

A novel approach for adaptive EEG artefact rejection and EOG gaze estimation

Mohammad Reza Haji Samadi, Neil Cooke

Electronic, Electrical and Systems Engineering

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

3 Citations (Scopus)

Abstract

An adaptive system for Electroencephalography (EEG) artefact rejection and Electrooculogrum (EOG) gaze estimation is proposed. The system inputs optical gaze information, and accuracy of the EOG gaze classification into an adaptive Independent Component Analysis (ICA) algorithm, for improving EEG source separation. Finally two evaluation methods based on EOG gaze estimation are suggested to assess the performance of the proposed system. The work will be of use to researchers considering using BCI and eye-tracking paradigms in real life applications. © Springer-Verlag Berlin Heidelberg 2013.

Original language	English
Title of host publication	Communications in Computer and Information Science
Publisher	Springer
Pages	603-607
Number of pages	5
Volume	373
Edition	PART I
ISBN (Print)	9783642394720
DOIs	https://doi.org/10.1007/978-3-642-39473-7_120
Publication status	Published - 2013
Event	15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United Kingdom Duration: 21 Jul 2013 → 26 Jul 2013

Publication series

Name	Communications in Computer and Information Science
Number	PART I
Volume	373
ISSN (Print)	18650929

Conference

Conference	15th International Conference on Human-Computer Interaction, HCI International 2013
Country/Territory	United Kingdom
City	Las Vegas, NV
Period	21/07/13 → 26/07/13

Keywords

Adaptive ICA
Artefact
BCI
EEG
Gaze

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10.1007/978-3-642-39473-7_120

Cite this

@inproceedings{e15a647edd334be0ac2c1a24d15d063d,

title = "A novel approach for adaptive EEG artefact rejection and EOG gaze estimation",

abstract = "An adaptive system for Electroencephalography (EEG) artefact rejection and Electrooculogrum (EOG) gaze estimation is proposed. The system inputs optical gaze information, and accuracy of the EOG gaze classification into an adaptive Independent Component Analysis (ICA) algorithm, for improving EEG source separation. Finally two evaluation methods based on EOG gaze estimation are suggested to assess the performance of the proposed system. The work will be of use to researchers considering using BCI and eye-tracking paradigms in real life applications. {\textcopyright} Springer-Verlag Berlin Heidelberg 2013.",

keywords = "Adaptive ICA, Artefact, BCI, EEG, Gaze",

author = "{Haji Samadi}, {Mohammad Reza} and Neil Cooke",

year = "2013",

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language = "English",

isbn = "9783642394720",

volume = "373",

series = "Communications in Computer and Information Science",

publisher = "Springer",

number = "PART I",

pages = "603--607",

booktitle = "Communications in Computer and Information Science",

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note = "15th International Conference on Human-Computer Interaction, HCI International 2013 ; Conference date: 21-07-2013 Through 26-07-2013",

}

Haji Samadi, MR & Cooke, N 2013, A novel approach for adaptive EEG artefact rejection and EOG gaze estimation. in Communications in Computer and Information Science. PART I edn, vol. 373, Chapter 120, Communications in Computer and Information Science, no. PART I, vol. 373, Springer, pp. 603-607, 15th International Conference on Human-Computer Interaction, HCI International 2013, Las Vegas, NV, United Kingdom, 21/07/13. https://doi.org/10.1007/978-3-642-39473-7_120

A novel approach for adaptive EEG artefact rejection and EOG gaze estimation. / Haji Samadi, Mohammad Reza; Cooke, Neil.
Communications in Computer and Information Science. Vol. 373 PART I. ed. Springer, 2013. p. 603-607 Chapter 120 (Communications in Computer and Information Science; Vol. 373, No. PART I).

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

TY - GEN

T1 - A novel approach for adaptive EEG artefact rejection and EOG gaze estimation

AU - Haji Samadi, Mohammad Reza

AU - Cooke, Neil

PY - 2013

Y1 - 2013

N2 - An adaptive system for Electroencephalography (EEG) artefact rejection and Electrooculogrum (EOG) gaze estimation is proposed. The system inputs optical gaze information, and accuracy of the EOG gaze classification into an adaptive Independent Component Analysis (ICA) algorithm, for improving EEG source separation. Finally two evaluation methods based on EOG gaze estimation are suggested to assess the performance of the proposed system. The work will be of use to researchers considering using BCI and eye-tracking paradigms in real life applications. © Springer-Verlag Berlin Heidelberg 2013.

AB - An adaptive system for Electroencephalography (EEG) artefact rejection and Electrooculogrum (EOG) gaze estimation is proposed. The system inputs optical gaze information, and accuracy of the EOG gaze classification into an adaptive Independent Component Analysis (ICA) algorithm, for improving EEG source separation. Finally two evaluation methods based on EOG gaze estimation are suggested to assess the performance of the proposed system. The work will be of use to researchers considering using BCI and eye-tracking paradigms in real life applications. © Springer-Verlag Berlin Heidelberg 2013.

KW - Adaptive ICA

KW - Artefact

KW - BCI

KW - EEG

KW - Gaze

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DO - 10.1007/978-3-642-39473-7_120

M3 - Conference contribution

SN - 9783642394720

VL - 373

T3 - Communications in Computer and Information Science

SP - 603

EP - 607

BT - Communications in Computer and Information Science

PB - Springer

T2 - 15th International Conference on Human-Computer Interaction, HCI International 2013

Y2 - 21 July 2013 through 26 July 2013

ER -

A novel approach for adaptive EEG artefact rejection and EOG gaze estimation

Abstract

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Conference

Keywords

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