Form as a Cue in the Automatic Recognition of Non-acted Affective Body Expressions
Identifieur interne : 000F33 ( Istex/Corpus ); précédent : 000F32; suivant : 000F34Form as a Cue in the Automatic Recognition of Non-acted Affective Body Expressions
Auteurs : Andrea Kleinsmith ; Nadia Bianchi-BerthouzeSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: The advent of whole-body interactive technology has increased the importance of creating systems that take into account body expressions to determine the affective state of the user. In doing so, the role played by the form and motion information needs to be understood. Neuroscience studies have shown that biological motion is recognized by separate pathways in the brain. This paper investigates the contribution of body configuration (form) in the automatic recognition of non-acted affective dynamic expressions in a video game context. Sequences of static postures are automatically extracted from motion capture data and presented to the system which is a combination of an affective posture recognition module and a sequence classification rule to finalize the affective state of each sequence. Our results show that using form information only, the system recognition reaches performances very close to the agreement between observers who viewed the affective expressions as animations containing both form and temporal information.
Url:
DOI: 10.1007/978-3-642-24600-5_19
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ISTEX:94FBCC3FE56B79F83CEC178FBFEAEC1E64BE4DD3Le document en format XML
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In doing so, the role played by the form and motion information needs to be understood. Neuroscience studies have shown that biological motion is recognized by separate pathways in the brain. This paper investigates the contribution of body configuration (form) in the automatic recognition of non-acted affective dynamic expressions in a video game context. Sequences of static postures are automatically extracted from motion capture data and presented to the system which is a combination of an affective posture recognition module and a sequence classification rule to finalize the affective state of each sequence. 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In doing so, the role played by the form and motion information needs to be understood. Neuroscience studies have shown that biological motion is recognized by separate pathways in the brain. This paper investigates the contribution of body configuration (form) in the automatic recognition of non-acted affective dynamic expressions in a video game context. Sequences of static postures are automatically extracted from motion capture data and presented to the system which is a combination of an affective posture recognition module and a sequence classification rule to finalize the affective state of each sequence. 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In doing so, the role played by the form and motion information needs to be understood. Neuroscience studies have shown that biological motion is recognized by separate pathways in the brain. This paper investigates the contribution of body configuration (form) in the automatic recognition of non-acted affective dynamic expressions in a video game context. Sequences of static postures are automatically extracted from motion capture data and presented to the system which is a combination of an affective posture recognition module and a sequence classification rule to finalize the affective state of each sequence. Our results show that using form information only, the system recognition reaches performances very close to the agreement between observers who viewed the affective expressions as animations containing both form and temporal information.</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><item><term>Computer Science</term></item><label>I22021</label><item><term>Image Processing and Computer Vision</term></item><label>I2203X</label><item><term>Pattern Recognition</term></item><label>I22005</label><item><term>Computer Imaging, Vision, Pattern Recognition and Graphics</term></item><label>I18067</label><item><term>User Interfaces and Human Computer Interaction</term></item><label>I21017</label><item><term>Artificial Intelligence (incl. 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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><City>Zurich</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>Stanford</City><State>CA</State><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><City>Bern</City><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><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><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>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-24600-5</BookID><BookTitle>Affective Computing and Intelligent Interaction</BookTitle><BookSubTitle>4th International Conference, ACII 2011, Memphis, TN, USA, October 9–12, 2011, Proceedings, Part I</BookSubTitle><BookVolumeNumber>6974</BookVolumeNumber><BookSequenceNumber>6974</BookSequenceNumber><BookDOI>10.1007/978-3-642-24600-5</BookDOI><BookTitleID>273379</BookTitleID><BookPrintISBN>978-3-642-24599-2</BookPrintISBN><BookElectronicISBN>978-3-642-24600-5</BookElectronicISBN><BookChapterCount>65</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag GmbH Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2011</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I22021" Priority="1" Type="Secondary">Image Processing and Computer Vision</BookSubject><BookSubject Code="I2203X" Priority="2" Type="Secondary">Pattern Recognition</BookSubject><BookSubject Code="I22005" Priority="3" Type="Secondary">Computer Imaging, Vision, Pattern Recognition and Graphics</BookSubject><BookSubject Code="I18067" Priority="4" Type="Secondary">User Interfaces and Human Computer Interaction</BookSubject><BookSubject Code="I21017" Priority="5" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I22005" Priority="6" Type="Secondary">Computer Imaging, Vision, Pattern Recognition and Graphics</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Sidney</GivenName><FamilyName>D’Mello</FamilyName></EditorName><Contact><Email>sdmello@memphis.edu</Email></Contact></Editor><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Arthur</GivenName><FamilyName>Graesser</FamilyName></EditorName><Contact><Email>a-graesser@memphis.edu</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Björn</GivenName><FamilyName>Schuller</FamilyName></EditorName><Contact><Email>schuller@tum.de</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Jean-Claude</GivenName><FamilyName>Martin</FamilyName></EditorName><Contact><Email>martin@limsi.fr</Email></Contact></Editor><Affiliation ID="Aff16"><OrgName>University of Memphis</OrgName><OrgAddress><Street>202 Psychology Building</Street><Postcode>38152</Postcode><City>Memphis</City><State>TN</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>Technische Universität München</OrgName><OrgAddress><Street>Arcisstraße 21</Street><Postcode>80333</Postcode><City>München</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgName>Laboratoire d’Informatique pour la Mécanique et les Sciences de l’Ingénieur (LIMSI-CNRS)</OrgName><OrgAddress><Street>Bâtiment 508</Street><Postcode>91403</Postcode><City>Orsay Cedex</City><Country>France</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part2"><PartInfo TocLevels="0"><PartID>2</PartID><PartSequenceNumber>2</PartSequenceNumber><PartTitle>Oral Presentations</PartTitle><PartChapterCount>44</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Affective Computing and Intelligent Interaction</BookTitle></PartContext></PartInfo><Chapter ID="Chap19" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>19</ChapterID><ChapterDOI>10.1007/978-3-642-24600-5_19</ChapterDOI><ChapterSequenceNumber>19</ChapterSequenceNumber><ChapterTitle Language="En">Form as a Cue in the Automatic Recognition of Non-acted Affective Body Expressions</ChapterTitle><ChapterFirstPage>155</ChapterFirstPage><ChapterLastPage>164</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2011</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>978-3-642-24600-5</BookID><BookTitle>Affective Computing and Intelligent Interaction</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Andrea</GivenName><FamilyName>Kleinsmith</FamilyName></AuthorName><Contact><Email>a.kleinsmith@gold.ac.uk</Email></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Nadia</GivenName><FamilyName>Bianchi-Berthouze</FamilyName></AuthorName><Contact><Email>n.berthouze@ucl.ac.uk</Email></Contact></Author><Affiliation ID="Aff19"><OrgDivision>Goldsmiths</OrgDivision><OrgName>University of London</OrgName><OrgAddress><City>London</City><Postcode>SE14 6NW</Postcode><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>UCL Interaction Centre</OrgDivision><OrgName>UCL</OrgName><OrgAddress><City>London</City><Postcode>WC1E 6BT</Postcode><Country>UK</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>The advent of whole-body interactive technology has increased the importance of creating systems that take into account body expressions to determine the affective state of the user. In doing so, the role played by the form and motion information needs to be understood. Neuroscience studies have shown that biological motion is recognized by separate pathways in the brain. This paper investigates the contribution of body configuration (form) in the automatic recognition of non-acted affective dynamic expressions in a video game context. Sequences of static postures are automatically extracted from motion capture data and presented to the system which is a combination of an affective posture recognition module and a sequence classification rule to finalize the affective state of each sequence. Our results show that using form information only, the system recognition reaches performances very close to the agreement between observers who viewed the affective expressions as animations containing both form and temporal information.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Affect recognition systems</Keyword><Keyword>affective whole-body posture</Keyword><Keyword>form information</Keyword><Keyword>temporal information</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Form as a Cue in the Automatic Recognition of Non-acted Affective Body Expressions</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Form as a Cue in the Automatic Recognition of Non-acted Affective Body Expressions</title></titleInfo><name type="personal"><namePart type="given">Andrea</namePart><namePart type="family">Kleinsmith</namePart><affiliation>Goldsmiths, University of London, SE14 6NW, London, UK</affiliation><affiliation>E-mail: a.kleinsmith@gold.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Nadia</namePart><namePart type="family">Bianchi-Berthouze</namePart><affiliation>UCL Interaction Centre, UCL, WC1E 6BT, London, UK</affiliation><affiliation>E-mail: n.berthouze@ucl.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2011</dateIssued><copyrightDate encoding="w3cdtf">2011</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: The advent of whole-body interactive technology has increased the importance of creating systems that take into account body expressions to determine the affective state of the user. In doing so, the role played by the form and motion information needs to be understood. Neuroscience studies have shown that biological motion is recognized by separate pathways in the brain. This paper investigates the contribution of body configuration (form) in the automatic recognition of non-acted affective dynamic expressions in a video game context. Sequences of static postures are automatically extracted from motion capture data and presented to the system which is a combination of an affective posture recognition module and a sequence classification rule to finalize the affective state of each sequence. Our results show that using form information only, the system recognition reaches performances very close to the agreement between observers who viewed the affective expressions as animations containing both form and temporal information.</abstract><relatedItem type="host"><titleInfo><title>Affective Computing and Intelligent Interaction</title><subTitle>4th International Conference, ACII 2011, Memphis, TN, USA, October 9–12, 2011, Proceedings, Part I</subTitle></titleInfo><name type="personal"><namePart type="given">Sidney</namePart><namePart type="family">D’Mello</namePart><affiliation>University of Memphis, 202 Psychology Building, 38152, Memphis, TN, USA</affiliation><affiliation>E-mail: sdmello@memphis.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Arthur</namePart><namePart type="family">Graesser</namePart><affiliation>University of Memphis, 202 Psychology Building, 38152, Memphis, TN, USA</affiliation><affiliation>E-mail: a-graesser@memphis.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Björn</namePart><namePart type="family">Schuller</namePart><affiliation>Technische Universität München, Arcisstraße 21, 80333, München, Germany</affiliation><affiliation>E-mail: schuller@tum.de</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jean-Claude</namePart><namePart type="family">Martin</namePart><affiliation>Laboratoire d’Informatique pour la Mécanique et les Sciences de l’Ingénieur (LIMSI-CNRS), Bâtiment 508, 91403, Orsay Cedex, France</affiliation><affiliation>E-mail: martin@limsi.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2011</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="I22021">Image Processing and Computer Vision</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="I22005">Computer Imaging, Vision, Pattern Recognition and Graphics</topic><topic authority="SpringerSubjectCodes" authorityURI="I18067">User Interfaces and Human Computer Interaction</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I22005">Computer Imaging, Vision, Pattern Recognition and Graphics</topic></subject><identifier type="DOI">10.1007/978-3-642-24600-5</identifier><identifier type="ISBN">978-3-642-24599-2</identifier><identifier type="eISBN">978-3-642-24600-5</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">273379</identifier><identifier type="BookID">978-3-642-24600-5</identifier><identifier type="BookChapterCount">65</identifier><identifier type="BookVolumeNumber">6974</identifier><identifier type="BookSequenceNumber">6974</identifier><identifier type="PartChapterCount">44</identifier><part><date>2011</date><detail type="part"><title>Oral Presentations</title></detail><detail type="volume"><number>6974</number><caption>vol.</caption></detail><extent unit="pages"><start>155</start><end>164</end></extent></part><recordInfo><recordOrigin>Springer-Verlag GmbH Berlin Heidelberg, 2011</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, Lancaster, 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, 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, Stanford, 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, 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, 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>University of California, Los Angeles, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Doug</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, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2011</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag GmbH Berlin Heidelberg, 2011</recordOrigin></recordInfo></relatedItem><identifier type="istex">94FBCC3FE56B79F83CEC178FBFEAEC1E64BE4DD3</identifier><identifier type="DOI">10.1007/978-3-642-24600-5_19</identifier><identifier type="ChapterID">19</identifier><identifier type="ChapterID">Chap19</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag GmbH Berlin Heidelberg, 2011</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2011</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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