Sign language recognition and translation: a multidisciplined approach from the field of artificial intelligence.

In recent years, research has progressed steadily in regard to the use of computers to recognize and render sign language. This paper reviews significant projects in the field beginning with finger-spelling hands such as 'Ralph' (robotics), CyberGloves (virtual reality sensors to capture isolated an...

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Publicado en:Journal of Deaf Studies & Deaf Education Vol. 11; no. 1; pp. 94 - 102
Autor principal: Parton BS
Formato: Journal Article
Publicado: Oxford University Press / USA Winter2006
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Oxford University Press / USA
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        atl: Sign language recognition and translation: a multidisciplined approach from the field of artificial intelligence.
      aug:
        au: Parton BS
        affil: University of North Texas, College of Education, Department of Technology and Cognition, 12825 Metz Road, Sanger, TX 76266; parton@cc.admin.unt.edu
      sug:
        subj:
          Artificial Intelligence
          Language Processing
          Sign Language
          Computer-Assisted Instruction
          Neural Networks (Computer)
          Robotics
          Virtual Reality
      ab: In recent years, research has progressed steadily in regard to the use of computers to recognize and render sign language. This paper reviews significant projects in the field beginning with finger-spelling hands such as 'Ralph' (robotics), CyberGloves (virtual reality sensors to capture isolated and continuous signs), camera-based projects such as the CopyCat interactive American Sign Language game (computer vision), and sign recognition software (Hidden Markov Modeling and neural network systems). Avatars such as 'Tessa' (Text and Sign Support Assistant; three-dimensional imaging) and spoken language to sign language translation systems such as Poland's project entitled 'THETOS' (Text into Sign Language Automatic Translator, which operates in Polish; natural language processing) are addressed. The application of this research to education is also explored. The 'ICICLE' (Interactive Computer Identification and Correction of Language Errors) project, for example, uses intelligent computer-aided instruction to build a tutorial system for deaf or hard-of-hearing children that analyzes their English writing and makes tailored lessons and recommendations. Finally, the article considers synthesized sign, which is being added to educational material and has the potential to be developed by students themselves.
      pubtype: Academic Journal
      doctype: Journal Article
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    language: English
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