Motion Capture 3D Sign Language Resources
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43966245" target="_blank" >RIV/49777513:23520/22:43966245 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-17258-8_21" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-17258-8_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-17258-8_21" target="_blank" >10.1007/978-3-031-17258-8_21</a>
Alternative languages
Result language
angličtina
Original language name
Motion Capture 3D Sign Language Resources
Original language description
The new 3D motion capture data corpus expands the portfolio of existing language resources by a corpus of 18 hours of Czech sign language. This helps alleviate the current problem, which is a critical lack of quality data necessary for research and subsequent deployment of machine learning techniques in this area. We currently provide the largest collection of annotated sign language recordings acquired by state-of-the-art 3D human body recording technology for the successful future deployment of communication technologies, especially machine translation and sign language synthesis.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
European Language Grid
ISBN
978-3-031-17257-1
Number of pages of the result
6
Pages from-to
307-312
Number of pages of the book
360
Publisher name
Springer Cham
Place of publication
Neuveden
UT code for WoS chapter
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