Towards an enhanced ERP speller based on the visual processing of face familiarity

Seul Ki Yeom, Siamac Fazli, Klaus Muller, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study, a novel P300 based brain-computer interface (BCI) system using random set presentation pattern and employing the effect of face familiarity has been proposed and developed. While the effect of face familiarity is widely studied in the cognitive neurosciences, it has so far not been addressed for the purpose of BCI. We compare P300-based BCI performances of a conventional row-column (RC)-based paradigm with our novel approach. Our experimental results indicate stronger deflections of the ERPs in response to face stimuli and thereby improving P300-based spelling performance. This leads to a significant reduction of stimulus sequences required for correct character classification. These findings demonstrate a promising new approach for improving the speed and thus fluency of BCI-enhanced communication with the widely used P300-based BCI setup.

Original languageEnglish
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1330-1333
Number of pages4
ISBN (Print)9781424479290
DOIs
Publication statusPublished - 2014 Nov 2
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
Duration: 2014 Aug 262014 Aug 30

Other

Other2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
CountryUnited States
CityChicago
Period14/8/2614/8/30

Fingerprint

Brain-Computer Interfaces
Brain computer interface
Enterprise resource planning
Processing
Computer Systems
Communication
Recognition (Psychology)

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Biomedical Engineering

Cite this

Yeom, S. K., Fazli, S., Muller, K., & Lee, S. W. (2014). Towards an enhanced ERP speller based on the visual processing of face familiarity. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 1330-1333). [6943844] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2014.6943844

Towards an enhanced ERP speller based on the visual processing of face familiarity. / Yeom, Seul Ki; Fazli, Siamac; Muller, Klaus; Lee, Seong Whan.

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1330-1333 6943844.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yeom, SK, Fazli, S, Muller, K & Lee, SW 2014, Towards an enhanced ERP speller based on the visual processing of face familiarity. in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014., 6943844, Institute of Electrical and Electronics Engineers Inc., pp. 1330-1333, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 14/8/26. https://doi.org/10.1109/EMBC.2014.6943844
Yeom SK, Fazli S, Muller K, Lee SW. Towards an enhanced ERP speller based on the visual processing of face familiarity. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1330-1333. 6943844 https://doi.org/10.1109/EMBC.2014.6943844
Yeom, Seul Ki ; Fazli, Siamac ; Muller, Klaus ; Lee, Seong Whan. / Towards an enhanced ERP speller based on the visual processing of face familiarity. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 1330-1333
@inproceedings{4bf45ab0da384b7c8d81d16b1d3bdd00,
title = "Towards an enhanced ERP speller based on the visual processing of face familiarity",
abstract = "In this study, a novel P300 based brain-computer interface (BCI) system using random set presentation pattern and employing the effect of face familiarity has been proposed and developed. While the effect of face familiarity is widely studied in the cognitive neurosciences, it has so far not been addressed for the purpose of BCI. We compare P300-based BCI performances of a conventional row-column (RC)-based paradigm with our novel approach. Our experimental results indicate stronger deflections of the ERPs in response to face stimuli and thereby improving P300-based spelling performance. This leads to a significant reduction of stimulus sequences required for correct character classification. These findings demonstrate a promising new approach for improving the speed and thus fluency of BCI-enhanced communication with the widely used P300-based BCI setup.",
author = "Yeom, {Seul Ki} and Siamac Fazli and Klaus Muller and Lee, {Seong Whan}",
year = "2014",
month = "11",
day = "2",
doi = "10.1109/EMBC.2014.6943844",
language = "English",
isbn = "9781424479290",
pages = "1330--1333",
booktitle = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Towards an enhanced ERP speller based on the visual processing of face familiarity

AU - Yeom, Seul Ki

AU - Fazli, Siamac

AU - Muller, Klaus

AU - Lee, Seong Whan

PY - 2014/11/2

Y1 - 2014/11/2

N2 - In this study, a novel P300 based brain-computer interface (BCI) system using random set presentation pattern and employing the effect of face familiarity has been proposed and developed. While the effect of face familiarity is widely studied in the cognitive neurosciences, it has so far not been addressed for the purpose of BCI. We compare P300-based BCI performances of a conventional row-column (RC)-based paradigm with our novel approach. Our experimental results indicate stronger deflections of the ERPs in response to face stimuli and thereby improving P300-based spelling performance. This leads to a significant reduction of stimulus sequences required for correct character classification. These findings demonstrate a promising new approach for improving the speed and thus fluency of BCI-enhanced communication with the widely used P300-based BCI setup.

AB - In this study, a novel P300 based brain-computer interface (BCI) system using random set presentation pattern and employing the effect of face familiarity has been proposed and developed. While the effect of face familiarity is widely studied in the cognitive neurosciences, it has so far not been addressed for the purpose of BCI. We compare P300-based BCI performances of a conventional row-column (RC)-based paradigm with our novel approach. Our experimental results indicate stronger deflections of the ERPs in response to face stimuli and thereby improving P300-based spelling performance. This leads to a significant reduction of stimulus sequences required for correct character classification. These findings demonstrate a promising new approach for improving the speed and thus fluency of BCI-enhanced communication with the widely used P300-based BCI setup.

UR - http://www.scopus.com/inward/record.url?scp=84929484026&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84929484026&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2014.6943844

DO - 10.1109/EMBC.2014.6943844

M3 - Conference contribution

C2 - 25570213

AN - SCOPUS:84929484026

SN - 9781424479290

SP - 1330

EP - 1333

BT - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -