Identifying informative features for ERP speller systems based on RSVP paradigm

Tian Lan; Deniz Erdogmus; Lois Black; Jan Van Santen

Identifying informative features for ERP speller systems based on RSVP paradigm

Tian Lan, Deniz Erdogmus, Lois Black, Jan Van Santen

Institute on Development and Disability

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

3 Scopus citations

Abstract

This preliminary study focused on identifying informative features in the frequency and spatial domains for single-trial Event Related Potential (ERP) detection for ERP spelling systems. A predefined sequence of letters was presented to subjects in a Rapid Serial Visual Presentation (RSVP) paradigm. EEG data were collected and analyzed offline. A Linear Discriminant Analysis (LDA) classifier was selected as ERP detector for its simplicity and robustness. A range of features in different frequency bands and EEG channel subsets was extracted and detection accuracies were compared for different classes of features.

Original language	English (US)
Title of host publication	Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010
Pages	351-356
Number of pages	6
State	Published - 2010
Event	18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2010 - Bruges, Belgium Duration: Apr 28 2010 → Apr 30 2010

Publication series

Name	Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010

Other

Other	18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2010
Country/Territory	Belgium
City	Bruges
Period	4/28/10 → 4/30/10

ASJC Scopus subject areas

Artificial Intelligence
Information Systems

Cite this

Lan, T., Erdogmus, D., Black, L., & Van Santen, J. (2010). Identifying informative features for ERP speller systems based on RSVP paradigm. In Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010 (pp. 351-356). (Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010).

Identifying informative features for ERP speller systems based on RSVP paradigm. / Lan, Tian; Erdogmus, Deniz; Black, Lois et al.
Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010. 2010. p. 351-356 (Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010).

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

Lan, T, Erdogmus, D, Black, L & Van Santen, J 2010, Identifying informative features for ERP speller systems based on RSVP paradigm. in Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010. Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, pp. 351-356, 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2010, Bruges, Belgium, 4/28/10.

Lan T, Erdogmus D, Black L, Van Santen J. Identifying informative features for ERP speller systems based on RSVP paradigm. In Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010. 2010. p. 351-356. (Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010).

Lan, Tian ; Erdogmus, Deniz ; Black, Lois et al. / Identifying informative features for ERP speller systems based on RSVP paradigm. Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010. 2010. pp. 351-356 (Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010).

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Identifying informative features for ERP speller systems based on RSVP paradigm

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