Performance Evaluation of a Hand Gesture Recognition System Using Fuzzy Algorithm and Neural Network for Post PC Platform
Identifieur interne : 001923 ( Istex/Corpus ); précédent : 001922; suivant : 001924Performance Evaluation of a Hand Gesture Recognition System Using Fuzzy Algorithm and Neural Network for Post PC Platform
Auteurs : Jung-Hyun Kim ; Yong-Wan Roh ; Jeong-Hoon Shin ; Kwang-Seok HongSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: In this paper, we implement hand gesture recognition system using fuzzy algorithm and neural network for Post PC (the embedded-ubiquitous environment using blue-tooth module, embedded i.MX21 board and smart gate-notebook computer). Also, we propose most efficient and reasonable hand gesture recognition interface for Post PC through evaluation and analysis of performance about each gesture recognition system. The proposed gesture recognition system consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) Relational Database Management System (hereafter, RDBMS) module to segment significant gestures from input data and 3) 2 each different recognition module: fuzzy max-min and neural network function recognition module to recognize significant gesture of continuous / dynamic gestures. Experimental result shows the average recognition rate of 98.8% in fuzzy max-min module and 96.7% in neural network recognition module about significantly dynamic gestures.
Url:
DOI: 10.1007/11676935_16
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only4you@chol.com</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>2006</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">54CCBA2270548C411A3F087DF7606AD2E76769A1</idno><idno type="DOI">10.1007/11676935_16</idno><idno type="ChapterID">16</idno><idno type="ChapterID">Chap16</idno></biblStruct></sourceDesc><seriesStmt><idno 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Also, we propose most efficient and reasonable hand gesture recognition interface for Post PC through evaluation and analysis of performance about each gesture recognition system. The proposed gesture recognition system consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) Relational Database Management System (hereafter, RDBMS) module to segment significant gestures from input data and 3) 2 each different recognition module: fuzzy max-min and neural network function recognition module to recognize significant gesture of continuous / dynamic gestures. Experimental result shows the average recognition rate of 98.8% in fuzzy max-min module and 96.7% in neural network recognition module about significantly 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>Yong-Wan Roh</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: elec1004@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>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 fuzzy algorithm and neural network for Post PC (the embedded-ubiquitous environment using blue-tooth module, embedded i.MX21 board and smart gate-notebook computer). Also, we propose most efficient and reasonable hand gesture recognition interface for Post PC through evaluation and analysis of performance about each gesture recognition system. The proposed gesture recognition system consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) Relational Database Management System (hereafter, RDBMS) module to segment significant gestures from input data and 3) 2 each different recognition module: fuzzy max-min and neural network function recognition module to recognize significant gesture of continuous / dynamic gestures. 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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 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TSI, CNRS UMR 5141 LTCI, ENST (Télécom ParisTech), Paris, France</affiliation></editor><editor><persName><forename type="first">Alfredo</forename><surname>Petrosino</surname></persName><email>alfredo.petrosino@uniparthenope.it</email><affiliation>Centro Direzionale, DSA, University of Naples, Parthenope, Isola C/4, 80143, Naples, Italy</affiliation></editor><editor><persName><forename type="first">Andrea</forename><forename type="first">G.</forename><forename type="first">B.</forename><surname>Tettamanzi</surname></persName><email>tettamanzi@dti.unimi.it</email><affiliation>Dipartimento di Tecnologie dell’Informazione, Università di Milano Crema,</affiliation></editor><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><biblScope type="seriesId">1244</biblScope></series><idno type="istex">54CCBA2270548C411A3F087DF7606AD2E76769A1</idno><idno type="DOI">10.1007/11676935_16</idno><idno type="ChapterID">16</idno><idno type="ChapterID">Chap16</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2006</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 fuzzy algorithm and neural network for Post PC (the embedded-ubiquitous environment using blue-tooth module, embedded i.MX21 board and smart gate-notebook computer). Also, we propose most efficient and reasonable hand gesture recognition interface for Post PC through evaluation and analysis of performance about each gesture recognition system. The proposed gesture recognition system consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) Relational Database Management System (hereafter, RDBMS) module to segment significant gestures from input data and 3) 2 each different recognition module: fuzzy max-min and neural network function recognition module to recognize significant gesture of continuous / dynamic gestures. Experimental result shows the average recognition rate of 98.8% in fuzzy max-min module and 96.7% in neural network recognition module about significantly 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>I18032</label><label>I18024</label><label>I22021</label><item><term>Computer Science</term></item><item><term>Artificial Intelligence (incl. 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Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><City>MA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>New York University</OrgName><OrgAddress><City>NY</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbruecken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><SubSeries><SubSeriesInfo><SubSeriesID>1244</SubSeriesID><SubSeriesPrintISSN>0302-9743</SubSeriesPrintISSN><SubSeriesElectronicISSN>1611-3349</SubSeriesElectronicISSN><SubSeriesTitle Language="En">Lecture Notes in Artificial Intelligence</SubSeriesTitle></SubSeriesInfo><SubSeriesHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Jaime</GivenName><GivenName>G.</GivenName><FamilyName>Carbonell</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Jörg</GivenName><FamilyName>Siekmann</FamilyName></EditorName></Editor><Affiliation 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Papers</BookSubTitle><BookVolumeNumber>3849</BookVolumeNumber><BookSequenceNumber>3849</BookSequenceNumber><BookDOI>10.1007/11676935</BookDOI><BookTitleID>133680</BookTitleID><BookPrintISBN>978-3-540-32529-1</BookPrintISBN><BookElectronicISBN>978-3-540-32530-7</BookElectronicISBN><BookChapterCount>53</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</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="I18032">Information Storage and Retrieval</BookSubject><BookSubject Type="Secondary" Priority="5" Code="I18024">Database Management</BookSubject><BookSubject Type="Secondary" Priority="6" Code="I22021">Image Processing and Computer Vision</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>Isabelle</GivenName><FamilyName>Bloch</FamilyName></EditorName><Contact><Email>Isabelle.Bloch@enst.fr</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Alfredo</GivenName><FamilyName>Petrosino</FamilyName></EditorName><Contact><Email>alfredo.petrosino@uniparthenope.it</Email></Contact></Editor><Editor AffiliationIDS="Aff20"><EditorName DisplayOrder="Western"><GivenName>Andrea</GivenName><GivenName>G.</GivenName><GivenName>B.</GivenName><FamilyName>Tettamanzi</FamilyName></EditorName><Contact><Email>tettamanzi@dti.unimi.it</Email></Contact></Editor><Affiliation ID="Aff18"><OrgName>Dept. TSI, CNRS UMR 5141 LTCI, ENST (Télécom ParisTech)</OrgName><OrgAddress><City>Paris</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Centro Direzionale, DSA</OrgDivision><OrgName>University of Naples</OrgName><OrgAddress><Street>Parthenope, Isola C/4</Street><Postcode>80143</Postcode><City>Naples</City><Country>Italy</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>Dipartimento di Tecnologie dell’Informazione</OrgDivision><OrgName>Università di Milano Crema</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part4"><PartInfo TocLevels="0"><PartID>4</PartID><PartSequenceNumber>4</PartSequenceNumber><PartTitle>Pattern Recognition</PartTitle><PartChapterCount>4</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Fuzzy Logic and Applications</BookTitle></PartContext></PartInfo><Chapter ID="Chap16" Language="En"><ChapterInfo ChapterType="OriginalPaper" NumberingStyle="ContentOnly" NumberingDepth="2" TocLevels="0" ContainsESM="No"><ChapterID>16</ChapterID><ChapterDOI>10.1007/11676935_16</ChapterDOI><ChapterSequenceNumber>16</ChapterSequenceNumber><ChapterTitle Language="En">Performance Evaluation of a Hand Gesture Recognition System Using Fuzzy Algorithm and Neural Network for Post PC Platform</ChapterTitle><ChapterFirstPage>129</ChapterFirstPage><ChapterLastPage>138</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</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>4</PartID><BookID>978-3-540-32530-7</BookID><BookTitle>Fuzzy Logic and Applications</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff21"><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="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Yong-Wan</GivenName><FamilyName>Roh</FamilyName></AuthorName><Contact><Email>elec1004@skku.edu</Email><URL>http://hci.skku.ac.kr</URL></Contact></Author><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Jeong-Hoon</GivenName><FamilyName>Shin</FamilyName></AuthorName><Contact><Email>only4you@chol.com</Email></Contact></Author><Author AffiliationIDS="Aff21"><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="Aff21"><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 fuzzy algorithm and neural network for Post PC (the embedded-ubiquitous environment using blue-tooth module, embedded i.MX21 board and smart gate-notebook computer). Also, we propose most efficient and reasonable hand gesture recognition interface for Post PC through evaluation and analysis of performance about each gesture recognition system. The proposed gesture recognition system consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) Relational Database Management System (hereafter, RDBMS) module to segment significant gestures from input data and 3) 2 each different recognition module: fuzzy max-min and neural network function recognition module to recognize significant gesture of continuous / dynamic gestures. Experimental result shows the average recognition rate of 98.8% in fuzzy max-min module and 96.7% in neural network recognition module about significantly dynamic gestures.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Performance Evaluation of a Hand Gesture Recognition System Using Fuzzy Algorithm and Neural Network for Post PC Platform</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Performance Evaluation of a Hand Gesture Recognition System Using Fuzzy Algorithm and Neural Network for Post PC Platform</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">Yong-Wan</namePart><namePart type="family">Roh</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: elec1004@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">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">2006</dateIssued><copyrightDate encoding="w3cdtf">2006</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 fuzzy algorithm and neural network for Post PC (the embedded-ubiquitous environment using blue-tooth module, embedded i.MX21 board and smart gate-notebook computer). Also, we propose most efficient and reasonable hand gesture recognition interface for Post PC through evaluation and analysis of performance about each gesture recognition system. The proposed gesture recognition system consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) Relational Database Management System (hereafter, RDBMS) module to segment significant gestures from input data and 3) 2 each different recognition module: fuzzy max-min and neural network function recognition module to recognize significant gesture of continuous / dynamic gestures. Experimental result shows the average recognition rate of 98.8% in fuzzy max-min module and 96.7% in neural network recognition module about significantly dynamic gestures.</abstract><relatedItem type="host"><titleInfo><title>Fuzzy Logic and Applications</title><subTitle>6th International Workshop, WILF 2005, Crema, Italy, September 15-17, 2005, Revised Selected Papers</subTitle></titleInfo><name type="personal"><namePart type="given">Isabelle</namePart><namePart type="family">Bloch</namePart><affiliation>Dept. TSI, CNRS UMR 5141 LTCI, ENST (Télécom ParisTech), Paris, France</affiliation><affiliation>E-mail: Isabelle.Bloch@enst.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Alfredo</namePart><namePart type="family">Petrosino</namePart><affiliation>Centro Direzionale, DSA, University of Naples, Parthenope, Isola C/4, 80143, Naples, Italy</affiliation><affiliation>E-mail: alfredo.petrosino@uniparthenope.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Andrea</namePart><namePart type="given">G.</namePart><namePart type="given">B.</namePart><namePart type="family">Tettamanzi</namePart><affiliation>Dipartimento di Tecnologie dell’Informazione, Università di Milano Crema</affiliation><affiliation>E-mail: tettamanzi@dti.unimi.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2006</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="I18032">Information Storage and Retrieval</topic><topic authority="SpringerSubjectCodes" authorityURI="I18024">Database Management</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic></subject><identifier type="DOI">10.1007/11676935</identifier><identifier type="ISBN">978-3-540-32529-1</identifier><identifier type="eISBN">978-3-540-32530-7</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">133680</identifier><identifier type="BookID">978-3-540-32530-7</identifier><identifier type="BookChapterCount">53</identifier><identifier type="BookVolumeNumber">3849</identifier><identifier type="BookSequenceNumber">3849</identifier><identifier type="PartChapterCount">4</identifier><part><date>2006</date><detail type="part"><title>Pattern Recognition</title></detail><detail type="volume"><number>3849</number><caption>vol.</caption></detail><extent unit="pages"><start>129</start><end>138</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2006</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, 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 type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart 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><originInfo><copyrightDate encoding="w3cdtf">2006</copyrightDate><issuance>serial</issuance></originInfo><relatedItem type="constituent"><titleInfo><title>Lecture Notes in Artificial Intelligence</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, 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 type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart 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 type="given">G.</namePart><namePart type="family">Carbonell</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jörg</namePart><namePart type="family">Siekmann</namePart><affiliation>University of Saarland, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Isabelle</namePart><namePart type="family">Bloch</namePart><affiliation>Dept. 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Letters to</title><author><persName><forename type="first">M</forename><surname>Ernst</surname></persName></author><author><persName><forename type="first">M</forename><surname>Banks</surname></persName></author></analytic><monogr><title level="j">Nature</title><imprint><biblScope unit="page">415</biblScope><date type="published" when="2002"></date></imprint></monogr></biblStruct><biblStruct xml:id="b2"><monogr><title level="m" type="main">Korean Standard Sign Language Dictionary, Osung publishing company</title><author><persName><forename type="first">Seung-Guk</forename><surname>Kim</surname></persName></author><imprint><date type="published" when="1995"></date><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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