Hand Gesture Recognition System Using Fuzzy Algorithm and RDBMS for Post PC
Identifieur interne : 004B92 ( Istex/Corpus ); précédent : 004B91; suivant : 004B93Hand Gesture Recognition System Using Fuzzy Algorithm and RDBMS for Post PC
Auteurs : Jung-Hyun Kim ; Dong-Gyu Kim ; Jeong-Hoon Shin ; Sang-Won Lee ; Kwang-Seok HongSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: In this paper, we implement hand gesture recognition system using union of fuzzy algorithm and Relational Database Management System (hereafter, RDBMS) module for Post PC (the embedded-ubiquitous environment using blue-tooth module, embedded i.MX21 board and note-book computer for smart gate). The learning and recognition model due to the RDBMS is used with input variable of fuzzy algorithm (fuzzy max-min composition), and recognize user’s dynamic gesture through efficient and rational fuzzy reasoning process. The proposed gesture recognition interface consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) RDBMS module to segment significant gestures from inputted data, and 3) fuzzy max-min recognition module to recognize significant gesture of continuous, dynamic gestures and extensity of recognition. Experimental result shows the average recognition rate of 98.2% for significant dynamic gestures.
Url:
DOI: 10.1007/11540007_21
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kdgyu13@skku.edu</mods:affiliation></affiliation></author><author><name sortKey="Shin, Jeong Hoon" sort="Shin, Jeong Hoon" uniqKey="Shin J" first="Jeong-Hoon" last="Shin">Jeong-Hoon Shin</name><affiliation><mods:affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: only4you@chol.com</mods:affiliation></affiliation></author><author><name sortKey="Lee, Sang Won" sort="Lee, Sang Won" uniqKey="Lee S" first="Sang-Won" last="Lee">Sang-Won Lee</name><affiliation><mods:affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: swlee@skku.edu</mods:affiliation></affiliation></author><author><name sortKey="Hong, Kwang Seok" sort="Hong, Kwang Seok" uniqKey="Hong 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first="Jung-Hyun" last="Kim">Jung-Hyun Kim</name><affiliation><mods:affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: kjh0328@skku.edu</mods:affiliation></affiliation></author><author><name sortKey="Kim, Dong Gyu" sort="Kim, Dong Gyu" uniqKey="Kim D" first="Dong-Gyu" last="Kim">Dong-Gyu Kim</name><affiliation><mods:affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: kdgyu13@skku.edu</mods:affiliation></affiliation></author><author><name sortKey="Shin, Jeong Hoon" sort="Shin, Jeong Hoon" uniqKey="Shin J" first="Jeong-Hoon" last="Shin">Jeong-Hoon Shin</name><affiliation><mods:affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: only4you@chol.com</mods:affiliation></affiliation></author><author><name sortKey="Lee, Sang Won" sort="Lee, Sang Won" uniqKey="Lee S" first="Sang-Won" last="Lee">Sang-Won Lee</name><affiliation><mods:affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: swlee@skku.edu</mods:affiliation></affiliation></author><author><name sortKey="Hong, Kwang Seok" sort="Hong, Kwang Seok" uniqKey="Hong K" first="Kwang-Seok" last="Hong">Kwang-Seok Hong</name><affiliation><mods:affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: kshong@skku.ac.kr</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2005</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">9BC9BE5A6FB6FBE0B414F8DF9743FF1B9D0F3846</idno><idno type="DOI">10.1007/11540007_21</idno><idno type="ChapterID">21</idno><idno type="ChapterID">Chap21</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: In this paper, we implement hand gesture recognition system using union of fuzzy algorithm and Relational Database Management System (hereafter, RDBMS) module for Post PC (the embedded-ubiquitous environment using blue-tooth module, embedded i.MX21 board and note-book computer for smart gate). The learning and recognition model due to the RDBMS is used with input variable of fuzzy algorithm (fuzzy max-min composition), and recognize user’s dynamic gesture through efficient and rational fuzzy reasoning process. The proposed gesture recognition interface consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) RDBMS module to segment significant gestures from inputted data, and 3) fuzzy max-min recognition module to recognize significant gesture of continuous, dynamic gestures and extensity of recognition. Experimental result shows the average recognition rate of 98.2% for significant dynamic gestures.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Jung-Hyun Kim</name><affiliations><json:string>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</json:string><json:string>E-mail: kjh0328@skku.edu</json:string></affiliations></json:item><json:item><name>Dong-Gyu Kim</name><affiliations><json:string>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</json:string><json:string>E-mail: kdgyu13@skku.edu</json:string></affiliations></json:item><json:item><name>Jeong-Hoon Shin</name><affiliations><json:string>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</json:string><json:string>E-mail: only4you@chol.com</json:string></affiliations></json:item><json:item><name>Sang-Won Lee</name><affiliations><json:string>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</json:string><json:string>E-mail: swlee@skku.edu</json:string></affiliations></json:item><json:item><name>Kwang-Seok Hong</name><affiliations><json:string>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</json:string><json:string>E-mail: kshong@skku.ac.kr</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: In this paper, we implement hand gesture recognition system using union of fuzzy algorithm and Relational Database Management System (hereafter, RDBMS) module for Post PC (the embedded-ubiquitous environment using blue-tooth module, embedded i.MX21 board and note-book computer for smart gate). The learning and recognition model due to the RDBMS is used with input variable of fuzzy algorithm (fuzzy max-min composition), and recognize user’s dynamic gesture through efficient and rational fuzzy reasoning process. The proposed gesture recognition interface consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) RDBMS module to segment significant gestures from inputted data, and 3) fuzzy max-min recognition module to recognize significant gesture of continuous, dynamic gestures and extensity of recognition. 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type="first">Dong-Gyu</forename><surname>Kim</surname></persName><email>kdgyu13@skku.edu</email><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation></author><author><persName><forename type="first">Jeong-Hoon</forename><surname>Shin</surname></persName><email>only4you@chol.com</email><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation></author><author><persName><forename type="first">Sang-Won</forename><surname>Lee</surname></persName><email>swlee@skku.edu</email><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation></author><author><persName><forename 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Rehovot, Israel</affiliation></editor><editor><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation>University of Bern, Switzerland</affiliation></editor><editor><persName><forename type="first">C.</forename><surname>Pandu Rangan</surname></persName><affiliation>Indian Institute of Technology, Madras, India</affiliation></editor><editor><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName><affiliation>University of Dortmund, Germany</affiliation></editor><editor><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation></editor><editor><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation>New York University, NY, USA</affiliation></editor><editor><persName><forename type="first">Dough</forename><surname>Tygar</surname></persName><affiliation>University of California, Berkeley, CA, USA</affiliation></editor><editor><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><editor><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation></editor><editor><persName><forename type="first">Jaime</forename><forename type="first">G.</forename><surname>Carbonell</surname></persName><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation></editor><editor><persName><forename type="first">Jörg</forename><surname>Siekmann</surname></persName><affiliation>University of Saarland, Saarbrücken, Germany</affiliation></editor><editor><persName><forename type="first">Lipo</forename><surname>Wang</surname></persName><email>elpwang@ntu.edu.sg</email><affiliation>School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore</affiliation></editor><editor><persName><forename type="first">Yaochu</forename><surname>Jin</surname></persName><email>Yaochu.Jin@honda-ri.de</email><affiliation>Honda Research Institute Europe GmbH, Offenbach/Main, Germany</affiliation></editor><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><biblScope type="seriesId">1244</biblScope></series><idno type="istex">9BC9BE5A6FB6FBE0B414F8DF9743FF1B9D0F3846</idno><idno type="DOI">10.1007/11540007_21</idno><idno type="ChapterID">21</idno><idno type="ChapterID">Chap21</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2005</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: In this paper, we implement hand gesture recognition system using union of fuzzy algorithm and Relational Database Management System (hereafter, RDBMS) module for Post PC (the embedded-ubiquitous environment using blue-tooth module, embedded i.MX21 board and note-book computer for smart gate). The learning and recognition model due to the RDBMS is used with input variable of fuzzy algorithm (fuzzy max-min composition), and recognize user’s dynamic gesture through efficient and rational fuzzy reasoning process. The proposed gesture recognition interface consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) RDBMS module to segment significant gestures from inputted data, and 3) fuzzy max-min recognition module to recognize significant gesture of continuous, dynamic gestures and extensity of recognition. Experimental result shows the average recognition rate of 98.2% for significant dynamic gestures.</p></abstract><textClass><keywords scheme="Book Subject Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book Subject Group"><list><label>I</label><label>I21017</label><label>I16048</label><label>I16013</label><label>I16021</label><label>I22021</label><label>I18024</label><item><term>Computer Science</term></item><item><term>Artificial Intelligence (incl. 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ID="Aff16"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>University of Saarland</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SubSeriesHeader></SubSeries><Book Language="En"><BookInfo Language="En" NumberingStyle="ContentOnly" NumberingDepth="2" OutputMedium="All" TocLevels="0" ContainsESM="No" BookProductType="Proceedings" MediaType="eBook"><BookID>978-3-540-31828-6</BookID><BookTitle>Fuzzy Systems and Knowledge Discovery</BookTitle><BookSubTitle>Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II</BookSubTitle><BookVolumeNumber>3614</BookVolumeNumber><BookSequenceNumber>3614</BookSequenceNumber><BookDOI>10.1007/11540007</BookDOI><BookTitleID>125924</BookTitleID><BookPrintISBN>978-3-540-28331-7</BookPrintISBN><BookElectronicISBN>978-3-540-31828-6</BookElectronicISBN><BookChapterCount>170</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Type="Primary" Code="I">Computer Science</BookSubject><BookSubject Type="Secondary" Priority="1" Code="I21017">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Type="Secondary" Priority="2" Code="I16048">Mathematical Logic and Formal Languages</BookSubject><BookSubject Type="Secondary" Priority="3" Code="I16013">Computation by Abstract Devices</BookSubject><BookSubject Type="Secondary" Priority="4" Code="I16021">Algorithm Analysis and Problem Complexity</BookSubject><BookSubject Type="Secondary" Priority="5" Code="I22021">Image Processing and Computer Vision</BookSubject><BookSubject Type="Secondary" Priority="6" Code="I18024">Database Management</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID><SubSeriesID>1244</SubSeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Lipo</GivenName><FamilyName>Wang</FamilyName></EditorName><Contact><Email>elpwang@ntu.edu.sg</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Yaochu</GivenName><FamilyName>Jin</FamilyName></EditorName><Contact><Email>Yaochu.Jin@honda-ri.de</Email></Contact></Editor><Affiliation ID="Aff18"><OrgDivision>School of Electrical and Electronic Engineering</OrgDivision><OrgName>Nanyang Technological University</OrgName><OrgAddress><Street>Block S1, Nanyang Avenue</Street><Postcode>639798</Postcode><Country>Singapore</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgName>Honda Research Institute Europe GmbH, Offenbach/Main</OrgName><OrgAddress><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part2"><PartInfo TocLevels="0"><PartID>2</PartID><PartSequenceNumber>2</PartSequenceNumber><PartTitle>Pattern Recognition and Trend Analysis</PartTitle><PartChapterCount>34</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Fuzzy Systems and Knowledge Discovery</BookTitle></PartContext></PartInfo><Chapter ID="Chap21" Language="En"><ChapterInfo ChapterType="OriginalPaper" NumberingStyle="ContentOnly" NumberingDepth="2" TocLevels="0" ContainsESM="No"><ChapterID>21</ChapterID><ChapterDOI>10.1007/11540007_21</ChapterDOI><ChapterSequenceNumber>21</ChapterSequenceNumber><ChapterTitle Language="En">Hand Gesture Recognition System Using Fuzzy Algorithm and RDBMS for Post PC</ChapterTitle><ChapterFirstPage>170</ChapterFirstPage><ChapterLastPage>175</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>2</PartID><BookID>978-3-540-31828-6</BookID><BookTitle>Fuzzy Systems and Knowledge Discovery</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Jung-Hyun</GivenName><FamilyName>Kim</FamilyName></AuthorName><Contact><Email>kjh0328@skku.edu</Email><URL>http://hci.skku.ac.kr</URL></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Dong-Gyu</GivenName><FamilyName>Kim</FamilyName></AuthorName><Contact><Email>kdgyu13@skku.edu</Email><URL>http://hci.skku.ac.kr</URL></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Jeong-Hoon</GivenName><FamilyName>Shin</FamilyName></AuthorName><Contact><Email>only4you@chol.com</Email><URL>http://hci.skku.ac.kr</URL></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Sang-Won</GivenName><FamilyName>Lee</FamilyName></AuthorName><Contact><Email>swlee@skku.edu</Email><URL>http://hci.skku.ac.kr</URL></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Kwang-Seok</GivenName><FamilyName>Hong</FamilyName></AuthorName><Contact><Email>kshong@skku.ac.kr</Email><URL>http://hci.skku.ac.kr</URL></Contact></Author><Affiliation ID="Aff20"><OrgDivision>School of Information and Communication Engineering</OrgDivision><OrgName>Sungkyunkwan University</OrgName><OrgAddress><Street>300, Chunchun-dong, Jangan-gu</Street><City>Suwon, KyungKi-do</City><Postcode>440-746</Postcode><Country>Korea</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>In this paper, we implement hand gesture recognition system using union of fuzzy algorithm and Relational Database Management System (hereafter, RDBMS) module for Post PC (the embedded-ubiquitous environment using blue-tooth module, embedded i.MX21 board and note-book computer for smart gate). The learning and recognition model due to the RDBMS is used with input variable of fuzzy algorithm (fuzzy max-min composition), and recognize user’s dynamic gesture through efficient and rational fuzzy reasoning process. The proposed gesture recognition interface consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) RDBMS module to segment significant gestures from inputted data, and 3) fuzzy max-min recognition module to recognize significant gesture of continuous, dynamic gestures and extensity of recognition. Experimental result shows the average recognition rate of 98.2% for significant dynamic gestures.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Hand Gesture Recognition System Using Fuzzy Algorithm and RDBMS for Post PC</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Hand Gesture Recognition System Using Fuzzy Algorithm and RDBMS for Post PC</title></titleInfo><name type="personal"><namePart type="given">Jung-Hyun</namePart><namePart type="family">Kim</namePart><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation><affiliation>E-mail: kjh0328@skku.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Dong-Gyu</namePart><namePart type="family">Kim</namePart><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation><affiliation>E-mail: kdgyu13@skku.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jeong-Hoon</namePart><namePart type="family">Shin</namePart><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation><affiliation>E-mail: only4you@chol.com</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Sang-Won</namePart><namePart type="family">Lee</namePart><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation><affiliation>E-mail: swlee@skku.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Kwang-Seok</namePart><namePart type="family">Hong</namePart><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation><affiliation>E-mail: kshong@skku.ac.kr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2005</dateIssued><copyrightDate encoding="w3cdtf">2005</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: In this paper, we implement hand gesture recognition system using union of fuzzy algorithm and Relational Database Management System (hereafter, RDBMS) module for Post PC (the embedded-ubiquitous environment using blue-tooth module, embedded i.MX21 board and note-book computer for smart gate). The learning and recognition model due to the RDBMS is used with input variable of fuzzy algorithm (fuzzy max-min composition), and recognize user’s dynamic gesture through efficient and rational fuzzy reasoning process. The proposed gesture recognition interface consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) RDBMS module to segment significant gestures from inputted data, and 3) fuzzy max-min recognition module to recognize significant gesture of continuous, dynamic gestures and extensity of recognition. Experimental result shows the average recognition rate of 98.2% for significant dynamic gestures.</abstract><relatedItem type="host"><titleInfo><title>Fuzzy Systems and Knowledge Discovery</title><subTitle>Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II</subTitle></titleInfo><name type="personal"><namePart type="given">Lipo</namePart><namePart type="family">Wang</namePart><affiliation>School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore</affiliation><affiliation>E-mail: elpwang@ntu.edu.sg</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Yaochu</namePart><namePart type="family">Jin</namePart><affiliation>Honda Research Institute Europe GmbH, Offenbach/Main, Germany</affiliation><affiliation>E-mail: Yaochu.Jin@honda-ri.de</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2005</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I16048">Mathematical Logic and Formal Languages</topic><topic authority="SpringerSubjectCodes" authorityURI="I16013">Computation by Abstract Devices</topic><topic authority="SpringerSubjectCodes" authorityURI="I16021">Algorithm Analysis and Problem Complexity</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic><topic authority="SpringerSubjectCodes" authorityURI="I18024">Database Management</topic></subject><identifier type="DOI">10.1007/11540007</identifier><identifier type="ISBN">978-3-540-28331-7</identifier><identifier type="eISBN">978-3-540-31828-6</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">125924</identifier><identifier type="BookID">978-3-540-31828-6</identifier><identifier type="BookChapterCount">170</identifier><identifier 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USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><affiliation>University of Bern, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><affiliation>Indian Institute of Technology, Madras, India</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><affiliation>University of Dortmund, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart 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type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><affiliation>New York University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dough</namePart><namePart type="family">Tygar</namePart><affiliation>University of California, Berkeley, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moshe</namePart><namePart type="given">Y.</namePart><namePart type="family">Vardi</namePart><affiliation>Rice University, Houston, TX, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jaime</namePart><namePart 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generic virtual reality systems</title><author><persName><forename type="first">R</forename><surname>Balaniuk</surname></persName></author><author><persName><forename type="first">C</forename><surname>Laugier</surname></persName></author></analytic><monogr><title level="m">Proceedings of the IEEE</title><meeting>the IEEE</meeting><imprint><date type="published" when="2000"></date><biblScope unit="page" from="1310" to="5"></biblScope></imprint></monogr></biblStruct><biblStruct xml:id="b2"><monogr><title level="m" type="main">Korean Standard Sign Language Dictionary</title><author><persName><forename type="first">Seung-Guk</forename><surname>Kim</surname></persName></author><imprint><date type="published" when="1995"></date><publisher>Osung publishing company</publisher><biblScope unit="page" from="107" to="112"></biblScope></imprint></monogr></biblStruct></listBibl></back></text></istex:refBibTEI></enrichments></istex></record>Pour manipuler ce document sous Unix (Dilib)
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