An Implementation of KSSL Recognizer for HCI Based on Post Wearable PC and Wireless Networks
Identifieur interne : 001922 ( Istex/Corpus ); précédent : 001921; suivant : 001923An Implementation of KSSL Recognizer for HCI Based on Post Wearable PC and Wireless Networks
Auteurs : Jung-Hyun Kim ; Kwang-Seok HongSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: A traditional study on recognition and representation of sign language based on the desktop PC have general restrictions conditionality in space and limitation of motion according to the technology of wire communication, and then the vision technology-based traditional sign langage recognition systems, recognition performance has the possibility of change and diversity according to the performance of the camera, change of background (colors) and illumination condition. To overcome these restrictions and problems, we implement embedded-sentential the Korean Standard Sign Language (hereinafter, KSSL) recognizer based on the post wearable PC for mobile and ubiquitous computing. The KSSL is a dialog system and interactive elements in the South Korea deaf communities. The advantages of our approach are as follows: 1) it improves efficiency of the KSSL input module according to the technology of wireless communication and user need not be constrained by the limitations of a particular interaction mode at any given moment, 2) it recognizes and represents continuous the KSSL of users with flexibility in real time and can offer to user a wider range of personalized and differentiated information more effectively, and 3) it is possible more effective and free interchange of ideas and information between deaf person and hearing person (the public). Experimental result shows an average recognition rate of 93.3% for the KSSL sentences and 96.9% for the KSSL words with significant, dynamic and continuous the KSSL.
Url:
DOI: 10.1007/11892960_95
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ISTEX:47C609753B13DC9782CADDBAA02B34FB75CA3B52Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct:series"><teiHeader><fileDesc><titleStmt><title xml:lang="en">An Implementation of KSSL Recognizer for HCI Based on Post Wearable PC and Wireless Networks</title><author><name sortKey="Kim, Jung Hyun" sort="Kim, Jung Hyun" uniqKey="Kim J" 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="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></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:47C609753B13DC9782CADDBAA02B34FB75CA3B52</idno><date when="2006" year="2006">2006</date><idno type="doi">10.1007/11892960_95</idno><idno type="url">https://api.istex.fr/document/47C609753B13DC9782CADDBAA02B34FB75CA3B52/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">001922</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">An Implementation of KSSL Recognizer for HCI Based on Post Wearable PC and Wireless Networks</title><author><name sortKey="Kim, Jung Hyun" sort="Kim, Jung Hyun" uniqKey="Kim J" 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="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">47C609753B13DC9782CADDBAA02B34FB75CA3B52</idno><idno type="DOI">10.1007/11892960_95</idno><idno type="ChapterID">95</idno><idno type="ChapterID">Chap95</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: A traditional study on recognition and representation of sign language based on the desktop PC have general restrictions conditionality in space and limitation of motion according to the technology of wire communication, and then the vision technology-based traditional sign langage recognition systems, recognition performance has the possibility of change and diversity according to the performance of the camera, change of background (colors) and illumination condition. To overcome these restrictions and problems, we implement embedded-sentential the Korean Standard Sign Language (hereinafter, KSSL) recognizer based on the post wearable PC for mobile and ubiquitous computing. The KSSL is a dialog system and interactive elements in the South Korea deaf communities. The advantages of our approach are as follows: 1) it improves efficiency of the KSSL input module according to the technology of wireless communication and user need not be constrained by the limitations of a particular interaction mode at any given moment, 2) it recognizes and represents continuous the KSSL of users with flexibility in real time and can offer to user a wider range of personalized and differentiated information more effectively, and 3) it is possible more effective and free interchange of ideas and information between deaf person and hearing person (the public). Experimental result shows an average recognition rate of 93.3% for the KSSL sentences and 96.9% for the KSSL words with significant, dynamic and continuous the KSSL.</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>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: A traditional study on recognition and representation of sign language based on the desktop PC have general restrictions conditionality in space and limitation of motion according to the technology of wire communication, and then the vision technology-based traditional sign langage recognition systems, recognition performance has the possibility of change and diversity according to the performance of the camera, change of background (colors) and illumination condition. To overcome these restrictions and problems, we implement embedded-sentential the Korean Standard Sign Language (hereinafter, KSSL) recognizer based on the post wearable PC for mobile and ubiquitous computing. The KSSL is a dialog system and interactive elements in the South Korea deaf communities. The advantages of our approach are as follows: 1) it improves efficiency of the KSSL input module according to the technology of wireless communication and user need not be constrained by the limitations of a particular interaction mode at any given moment, 2) it recognizes and represents continuous the KSSL of users with flexibility in real time and can offer to user a wider range of personalized and differentiated information more effectively, and 3) it is possible more effective and free interchange of ideas and information between deaf person and hearing person (the public). 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type="seriesId">1244</biblScope></series><idno type="istex">47C609753B13DC9782CADDBAA02B34FB75CA3B52</idno><idno type="DOI">10.1007/11892960_95</idno><idno type="ChapterID">95</idno><idno type="ChapterID">Chap95</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2006</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: A traditional study on recognition and representation of sign language based on the desktop PC have general restrictions conditionality in space and limitation of motion according to the technology of wire communication, and then the vision technology-based traditional sign langage recognition systems, recognition performance has the possibility of change and diversity according to the performance of the camera, change of background (colors) and illumination condition. To overcome these restrictions and problems, we implement embedded-sentential the Korean Standard Sign Language (hereinafter, KSSL) recognizer based on the post wearable PC for mobile and ubiquitous computing. The KSSL is a dialog system and interactive elements in the South Korea deaf communities. The advantages of our approach are as follows: 1) it improves efficiency of the KSSL input module according to the technology of wireless communication and user need not be constrained by the limitations of a particular interaction mode at any given moment, 2) it recognizes and represents continuous the KSSL of users with flexibility in real time and can offer to user a wider range of personalized and differentiated information more effectively, and 3) it is possible more effective and free interchange of ideas and information between deaf person and hearing person (the public). Experimental result shows an average recognition rate of 93.3% for the KSSL sentences and 96.9% for the KSSL words with significant, dynamic and continuous the KSSL.</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>I18040</label><label>I18032</label><label>I2301X</label><label>I24040</label><label>I24067</label><item><term>Computer Science</term></item><item><term>Artificial Intelligence (incl. 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DisplayOrder="Western"><GivenName>Gerhard</GivenName><FamilyName>Weikum</FamilyName></EditorName></Editor><Affiliation ID="Aff1"><OrgName>Lancaster University</OrgName><OrgAddress><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>CA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann 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>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><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 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 BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-540-46536-2</BookID><BookTitle>Knowledge-Based Intelligent Information and Engineering Systems</BookTitle><BookSubTitle>10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006. Proceedings, Part I</BookSubTitle><BookVolumeNumber>4251</BookVolumeNumber><BookSequenceNumber>4251</BookSequenceNumber><BookDOI>10.1007/11892960</BookDOI><BookTitleID>141943</BookTitleID><BookPrintISBN>978-3-540-46535-5</BookPrintISBN><BookElectronicISBN>978-3-540-46536-2</BookElectronicISBN><BookChapterCount>152</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I21017" Priority="1" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I18040" Priority="2" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18032" Priority="3" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I2301X" Priority="4" Type="Secondary">Computer Appl. in Administrative Data Processing</BookSubject><BookSubject Code="I24040" Priority="5" Type="Secondary">Computers and Society</BookSubject><BookSubject Code="I24067" Priority="6" Type="Secondary">Management of Computing and Information Systems</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>Bogdan</GivenName><FamilyName>Gabrys</FamilyName></EditorName><Contact><Email>bgabrys@bournemouth.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Robert</GivenName><GivenName>J.</GivenName><FamilyName>Howlett</FamilyName></EditorName><Contact><Email>r.j.howlett@bton.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff20"><EditorName DisplayOrder="Western"><GivenName>Lakhmi</GivenName><GivenName>C.</GivenName><FamilyName>Jain</FamilyName></EditorName><Contact><Email>Lakhmi.Jain@unisa.edu.au</Email></Contact></Editor><Affiliation ID="Aff18"><OrgDivision>School of Design, Engineering and Computing</OrgDivision><OrgName>Bournemouth University</OrgName><OrgAddress><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Centre for SMART Systems, School of Environment and Technology</OrgDivision><OrgName>University of Brighton</OrgName><OrgAddress><Postcode>BN2 4GJ</Postcode><City>Brighton</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre</OrgDivision><OrgName>University of South Australia</OrgName><OrgAddress><Street>Mawson Lakes</Street><Postcode>5095</Postcode><State>SA</State><Country>Australia</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part2"><PartInfo TocLevels="0"><PartID>2</PartID><PartSequenceNumber>2</PartSequenceNumber><PartTitle>Applications of Intelligent Systems</PartTitle><PartChapterCount>69</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Knowledge-Based Intelligent Information and Engineering Systems</BookTitle></PartContext></PartInfo><SubPart ID="SubPart12"><SubPartInfo><SubPartID>12</SubPartID><SubPartSequenceNumber>12</SubPartSequenceNumber><SubPartTitle>Intelligent Signal Processing, Control and Robotics</SubPartTitle><SubPartChapterCount>13</SubPartChapterCount></SubPartInfo><Chapter ID="Chap95" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>95</ChapterID><ChapterDOI>10.1007/11892960_95</ChapterDOI><ChapterSequenceNumber>95</ChapterSequenceNumber><ChapterTitle Language="En">An Implementation of KSSL Recognizer for HCI Based on Post Wearable PC and Wireless Networks</ChapterTitle><ChapterFirstPage>788</ChapterFirstPage><ChapterLastPage>797</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>2</PartID><BookID>978-3-540-46536-2</BookID><BookTitle>Knowledge-Based Intelligent Information and Engineering Systems</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>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</City><State>KyungKi-do</State><Postcode>440-746</Postcode><Country>Korea</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>A traditional study on recognition and representation of sign language based on the desktop PC have general restrictions conditionality in space and limitation of motion according to the technology of wire communication, and then the vision technology-based traditional sign langage recognition systems, recognition performance has the possibility of change and diversity according to the performance of the camera, change of background (colors) and illumination condition. To overcome these restrictions and problems, we implement embedded-sentential the Korean Standard Sign Language (hereinafter, KSSL) recognizer based on the post wearable PC for mobile and ubiquitous computing. The KSSL is a dialog system and interactive elements in the South Korea deaf communities. The advantages of our approach are as follows: 1) it improves efficiency of the KSSL input module according to the technology of wireless communication and user need not be constrained by the limitations of a particular interaction mode at any given moment, 2) it recognizes and represents continuous the KSSL of users with flexibility in real time and can offer to user a wider range of personalized and differentiated information more effectively, and 3) it is possible more effective and free interchange of ideas and information between deaf person and hearing person (the public). Experimental result shows an average recognition rate of 93.3% for the KSSL sentences and 96.9% for the KSSL words with significant, dynamic and continuous the KSSL.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></SubPart></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>An Implementation of KSSL Recognizer for HCI Based on Post Wearable PC and Wireless Networks</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>An Implementation of KSSL Recognizer for HCI Based on Post Wearable PC and Wireless Networks</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">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><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: A traditional study on recognition and representation of sign language based on the desktop PC have general restrictions conditionality in space and limitation of motion according to the technology of wire communication, and then the vision technology-based traditional sign langage recognition systems, recognition performance has the possibility of change and diversity according to the performance of the camera, change of background (colors) and illumination condition. To overcome these restrictions and problems, we implement embedded-sentential the Korean Standard Sign Language (hereinafter, KSSL) recognizer based on the post wearable PC for mobile and ubiquitous computing. The KSSL is a dialog system and interactive elements in the South Korea deaf communities. The advantages of our approach are as follows: 1) it improves efficiency of the KSSL input module according to the technology of wireless communication and user need not be constrained by the limitations of a particular interaction mode at any given moment, 2) it recognizes and represents continuous the KSSL of users with flexibility in real time and can offer to user a wider range of personalized and differentiated information more effectively, and 3) it is possible more effective and free interchange of ideas and information between deaf person and hearing person (the public). Experimental result shows an average recognition rate of 93.3% for the KSSL sentences and 96.9% for the KSSL words with significant, dynamic and continuous the KSSL.</abstract><relatedItem type="host"><titleInfo><title>Knowledge-Based Intelligent Information and Engineering Systems</title><subTitle>10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006. Proceedings, Part I</subTitle></titleInfo><name type="personal"><namePart type="given">Bogdan</namePart><namePart type="family">Gabrys</namePart><affiliation>School of Design, Engineering and Computing, Bournemouth University, UK</affiliation><affiliation>E-mail: bgabrys@bournemouth.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Robert</namePart><namePart type="given">J.</namePart><namePart type="family">Howlett</namePart><affiliation>Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK</affiliation><affiliation>E-mail: r.j.howlett@bton.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Lakhmi</namePart><namePart type="given">C.</namePart><namePart type="family">Jain</namePart><affiliation>School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia</affiliation><affiliation>E-mail: Lakhmi.Jain@unisa.edu.au</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="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18032">Information Storage and Retrieval</topic><topic authority="SpringerSubjectCodes" authorityURI="I2301X">Computer Appl. in Administrative Data Processing</topic><topic authority="SpringerSubjectCodes" authorityURI="I24040">Computers and Society</topic><topic authority="SpringerSubjectCodes" authorityURI="I24067">Management of Computing and Information Systems</topic></subject><identifier type="DOI">10.1007/11892960</identifier><identifier type="ISBN">978-3-540-46535-5</identifier><identifier type="eISBN">978-3-540-46536-2</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">141943</identifier><identifier type="BookID">978-3-540-46536-2</identifier><identifier type="BookChapterCount">152</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 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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 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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">Bogdan</namePart><namePart type="family">Gabrys</namePart><affiliation>School of Design, Engineering and Computing, Bournemouth University, UK</affiliation><affiliation>E-mail: bgabrys@bournemouth.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Robert</namePart><namePart type="given">J.</namePart><namePart type="family">Howlett</namePart><affiliation>Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK</affiliation><affiliation>E-mail: r.j.howlett@bton.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Lakhmi</namePart><namePart type="given">C.</namePart><namePart type="family">Jain</namePart><affiliation>School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia</affiliation><affiliation>E-mail: Lakhmi.Jain@unisa.edu.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Sub-Series"></genre><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SubSeriesID">1244</identifier></relatedItem><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier 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