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dc.contributor.authorKacorri, Hernisaen_US
dc.contributor.authorSyed, Ali Razaen_US
dc.contributor.authorHuenerfauth, Matten_US
dc.contributor.authorNeidle, Carolen_US
dc.coverage.spatialPortorož, Sloveniaen_US
dc.date.accessioned2018-03-14T22:13:44Z
dc.date.available2018-03-14T22:13:44Z
dc.date.issued2016
dc.identifierhttp://www.lrec-conf.org/proceedings/lrec2016/workshops/LREC2016Workshop-SignLanguage_Proceedings.pdf
dc.identifier.citationHernisa Kacorri, Ali Raza Syed, Matt Huenerfauth, Carol Neidle. "Centroid-Based Exemplar Selection of ASL Non-Manual Expressions using Multidimensional Dynamic Time Warping and MPEG4 Features." Proceedings of the Workshop on the Representation and Processing of Sign Languages: Corpus Mining, Language Resources and Evaluation Conference 2016. Workshop on the Representation and Processing of Sign Languages: Corpus Mining, Language Resources and Evaluation Conference 2016. Portorož, Slovenia, 2016-05-28 - 2016-05-28
dc.identifier.urihttps://hdl.handle.net/2144/27493
dc.description.abstractWe investigate a method for selecting recordings of human face and head movements from a sign language corpus to serve as a basis for generating animations of novel sentences of American Sign Language (ASL). Drawing from a collection of recordings that have been categorized into various types of non-manual expressions (NMEs), we define a method for selecting an exemplar recording of a given type using a centroid-based selection procedure, using multivariate dynamic time warping (DTW) as the distance function. Through intra- and inter-signer methods of evaluation, we demonstrate the efficacy of this technique, and we note useful potential for the DTW visualizations generated in this study for linguistic researchers collecting and analyzing sign language corpora.en_US
dc.format.extent105 - 110 (6)en_US
dc.languageEnglish
dc.publisherEuropean Language Resources Association (ELRA)en_US
dc.relation.ispartofProceedings of the Workshop on the Representation and Processing of Sign Languages: Corpus Mining, Language Resources and Evaluation Conference 2016
dc.rightsThis open access paper is available under a Attribution-NonCommercial-NoDerivatives 4.0 International license. Copyright 2016 by the European Language Resources Associationen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAmerican Sign Languageen_US
dc.subjectASL recognitionen_US
dc.titleCentroid-based exemplar selection of ASL non-manual expressions using multidimensional dynamic time warping and MPEG4 featuresen_US
dc.typeConference materialsen_US
pubs.elements-sourcemanual-entryen_US
pubs.notesISBN 978-2-9517408-9-1 Copyright by the European Language Resources Associationen_US
pubs.notesEmbargo: No embargoen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Romance Studiesen_US
pubs.publication-statusPublished onlineen_US
dc.date.online2016


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This open access paper is available under a Attribution-NonCommercial-NoDerivatives 4.0 International license. Copyright 2016 by the European Language Resources Association
Except where otherwise noted, this item's license is described as This open access paper is available under a Attribution-NonCommercial-NoDerivatives 4.0 International license. Copyright 2016 by the European Language Resources Association