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  Movement phases in signs and co-speech gestures, and their transcription by human coders

Kita, S., van Gijn, I., & van der Hulst, H. (1998). Movement phases in signs and co-speech gestures, and their transcription by human coders. In Gesture and Sign-Language in Human-Computer Interaction (Lecture Notes in Artificial Intelligence - LNCS Subseries, Vol. 1371) (pp. 23-35). Berlin, Germany: Springer-Verlag.

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Kita_etal_1998_movement-phases-in-signs.pdf (Publisher version), 2MB
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 Creators:
Kita, Sotaro1, Author
van Gijn, Ingeborg2, Author
van der Hulst, Harry2, Author
Affiliations:
1Other Research, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_55217              
2Leiden University, Leiden, The Netherlands, ou_persistent22              

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Free keywords: Sign Language; Phase Type; American Sign; Expressive Phase; Movement Phase
 Abstract: The previous literature has suggested that the hand movement in co-speech gestures and signs consists of a series of phases with qualitatively different dynamic characteristics. In this paper, we propose a syntagmatic rule system for movement phases that applies to both co-speech gestures and signs. Descriptive criteria for the rule system were developed for the analysis video-recorded continuous production of signs and gesture. It involves segmenting a stream of body movement into phases and identifying different phase types. Two human coders used the criteria to analyze signs and cospeech gestures that are produced in natural discourse. It was found that the criteria yielded good inter-coder reliability. These criteria can be used for the technology of automatic recognition of signs and co-speech gestures in order to segment continuous production and identify the potentially meaningbearing phase.

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Language(s): eng - English
 Dates: 1998
 Publication Status: Issued
 Pages: -
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Title: the International Gesture Workshop (GW1997)
Place of Event: Bielefeld, Germany
Start-/End Date: 1997-09-17 - 1997-09-19

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Title: Gesture and Sign-Language in Human-Computer Interaction (Lecture Notes in Artificial Intelligence - LNCS Subseries, Vol. 1371)
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer-Verlag
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 23 - 35 Identifier: ISBN: 3-540-64424-5