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Brain-Computer Interaction and Silent Speech Recognition on Decentralized Messaging Applications Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Constructing a Highly Accurate Japanese Sign Language Motion Database Including Dialogue

Authors : Yuji Nagashima, Keiko Watanabe, Daisuke Hara, Yasuo Horiuchi, Shinji Sako, Akira Ichikawa

Published in: HCI International 2020 - Posters

Publisher: Springer International Publishing

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Abstract

Sign language is a visual language. Research into Sign language, including in related areas such as linguistics and engineering is lagging behind spoken language. One reason for this is the absence of a common database available to researchers from different areas.
This paper defines how to words are selected for inclusion in the sign language database, how to select informants, what format the data are included in and how to record the data. Also, the database includes three-dimensional behavioral data based on dialogue. The following explains the results.

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previous chapter Evaluation of Musical Playing Ability of Children with Intellectual Disabilities by Using Keyboard-Playing-Software with the Figurenotes System
next chapter A User-Centered Approach to Digital Household Risk Management
Literature
1.
Amano, S., Kasahara, K., Kondo, K. : NTT database series [Lexical Properties of Japanese] volume 9: word familiarity database (addition ed.). Sanseido Co., Inc, Tokyo (2008)
2.
3.
Katou, N.: NHK Japanese sign language corpus on NHK news. In: 2010 NLP (the Association for Natural Language Processing) Annual Meeting, pp. 494–497 (2010)
4.
Japan Institute for Sign Language Studies (ed.).: Japanese/ Japanese Sign Language Dictionary. Japanese Federation of the Deaf, Tokyo (1997)
5.
Metadata
Title
Constructing a Highly Accurate Japanese Sign Language Motion Database Including Dialogue
Authors
Yuji Nagashima
Keiko Watanabe
Daisuke Hara
Yasuo Horiuchi
Shinji Sako
Akira Ichikawa
Copyright Year
2020
Book
HCI International 2020 - Posters

Print ISBN: 978-3-030-50731-2

Electronic ISBN: 978-3-030-50732-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-50732-9_11