Why Don't You See What I Mean? Prospects and Limitations of Current Automatic Sign Recognition Research.
This article presents an overview of current automatic sign recognition research. A review of recent studies, as well as on our own research, has identified several problem areas that hamper successful sign recognition by a computer. Some of these problems are shared with automatic speech recognitio...
| Publicado en: | Sign Language Studies Vol. 6; no. 4; pp. 416 - 438 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Gallaudet University Press for Sign Language Studies
Summer2006
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=22756843&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 22756843 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 03021475 NGU jtl: Sign Language Studies issn: 03021475 maglogo: N pubinfo: dt: Summer2006 vid: 6 iid: 4 pid: 18684 pub: Gallaudet University Press for Sign Language Studies artinfo: ui: 22756843 10.1353/sls.2006.0024 ppf: 416 ppct: 22 formats: tig: atl: Why Don't You See What I Mean? Prospects and Limitations of Current Automatic Sign Recognition Research. aug: au: Holt, Gineke Ten Hendriks, Petra Andringa, Tjeerd affil: Automatic Sign Recognition, Delft University of Technology Associate Professor of Semantics, University of Groningen Assistent Professor in Auditory Cognition, University of Groningen su: Automatic speech recognition Speech perception Nonverbal communication Computer input-output equipment Speech processing systems Hard of hearing people Computers & people with disabilities sug: subj: Automatic speech recognition Speech perception Nonverbal communication Computer input-output equipment Speech processing systems Hard of hearing people Computers & people with disabilities ab: This article presents an overview of current automatic sign recognition research. A review of recent studies, as well as on our own research, has identified several problem areas that hamper successful sign recognition by a computer. Some of these problems are shared with automatic speech recognition, whereas others seem to be unique to automatic sign recognition. These latter difficulties include context dependency, determination of the basic units of modeling, the ability to distinguish between signs and gestures, movement epenthesis, and repetition within signs. As a possible solution to these problems, bottom-up processing should perhaps be supplemented with top-down processing. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2006 holdings: @attributes: islocal: N |
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