A Hierarchical Stimulus Presentation Paradigm for a P300-Based Hangul Speller
- Authors
- Lee, Tae-Hoon; Kam, Tae-Eui; Kim, Sung-Phil
- Issue Date
- 2011
- Publisher
- WILEY
- Keywords
- brain-computer interface; electroencephalography; P300; Hangul speller; hierarchical stimulus presentation paradigm
- Citation
- INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, v.21, no.2, pp.131 - 138
- Indexed
- SCIE
SCOPUS
- Journal Title
- INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
- Volume
- 21
- Number
- 2
- Start Page
- 131
- End Page
- 138
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/114899
- DOI
- 10.1002/ima.20282
- ISSN
- 0899-9457
- Abstract
- We propose a hierarchical stimulus presentation paradigm for a P300-based Hangul (Korean script) input system. A P300-based input system (or speller) is one of the most promising noninvasive brain-computer interface (BCI) applications based on its direct applicability in many computer programs. Although the previous row/column stimulus presentation paradigm has been well-suited to the English input, it may not be optimal for a Hangul input because Hangul has a distinct hierarchical structure. To overcome the limitation of the previous paradigms, we developed a new P300-based Hangul input system by taking the unique hierarchical structure of Hangul into account for creating a hierarchical stimulus presentation paradigm. By using the hierarchical structure, we can effectively reduce the window size of the interface without loss of classification accuracy. A performance comparison shows that the hierarchical paradigm exhibits higher classification accuracy than the row/column paradigm even with a smaller window size. Thus, the proposed hierarchical paradigm is more efficient to spell Hangul and will be more useful for BCI-based Hangul input for a text messenger, e-mail program, word processor and other similar applications. (C) 2011 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 21, 131-138, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ima.20282
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Collections - Graduate School > Department of Artificial Intelligence > 1. Journal Articles
- Graduate School > Department of Brain and Cognitive Engineering > 1. Journal Articles
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