DC Field | Value | Language |
---|---|---|
dc.contributor.author | Han, Jeong-Su | ko |
dc.contributor.author | Bang, Won-Chul | ko |
dc.contributor.author | Bien, Zeung nam | ko |
dc.date.accessioned | 2013-03-06T05:33:48Z | - |
dc.date.available | 2013-03-06T05:33:48Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2002-08 | - |
dc.identifier.citation | FUZZY OPTIMIZATION AND DECISION MAKING, v.1, no.3, pp.269 - 286 | - |
dc.identifier.issn | 1568-4539 | - |
dc.identifier.uri | http://hdl.handle.net/10203/85967 | - |
dc.description.abstract | Recognizing bio-signals, such as EMG, EEG, EOG and ECG, is a promising theme of study since it provides with a convenient means for human-machine interaction. Various approaches of determining features of bio-signals were known for discerning predefined motions/intentions of human, but most of them are applicable mostly only to a single subject, due to inherent characteristics of bio-signals. Lately, several new types of pattern classifier with known features have been proposed to cope with the problem of subject-dependency, but their error rates are still conspicuous when accommodating multiple subjects. Based on the soft computing techniques, this paper presents a comparative experimental study to minimize the subject-dependency. It is shown that the induced feature vector set obtained by the proposed algorithm has less subject-dependency than other existing methods. | - |
dc.language | English | - |
dc.publisher | Springer | - |
dc.title | Feature Set Extraction Algorithm based on Soft Computing Techniques and Its Application to EMG Pattern Classification | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 1 | - |
dc.citation.issue | 3 | - |
dc.citation.beginningpage | 269 | - |
dc.citation.endingpage | 286 | - |
dc.citation.publicationname | FUZZY OPTIMIZATION AND DECISION MAKING | - |
dc.contributor.localauthor | Bien, Zeung nam | - |
dc.contributor.nonIdAuthor | Han, Jeong-Su | - |
dc.contributor.nonIdAuthor | Bang, Won-Chul | - |
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