The article deals with a recording procedure for sign language dataset building mainly for avatar synthesis systems. Combined data glove and optical capture technique is considered. We present initial experiences with the motion capture data produced by the CyberGlove3 gloves and a set of new tools to ease the recording process, glove calibration and proper interpretation by the 3D model. It results in a more flexible solution for the sign language capture integrating manual glove calibration with an automatic initialization, time synchronization and high-resolution sensor readings.
Zdeněk Krňoul, Jakub Kanis, Miloš Železný, Luděk Müller. 2016. Semiautomatic Data Glove Calibration for Sign Language Corpora Building. In Proceedings of the LREC2016 7th Workshop on the Representation and Processing of Sign Languages: Corpus Mining, pages 133–136, Portorož, Slovenia. European Language Resources Association (ELRA).
BibTeX Export
@inproceedings{krnoul:16020:sign-lang:lrec,
author = {Kr{\v n}oul, Zden{\v e}k and Kanis, Jakub and {\v Z}elezn{\'y}, Milo{\v s} and M{\"u}ller, Lud{\v e}k},
title = {Semiautomatic Data Glove Calibration for Sign Language Corpora Building},
pages = {133--136},
editor = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna},
booktitle = {Proceedings of the {LREC2016} 7th Workshop on the Representation and Processing of Sign Languages: Corpus Mining},
maintitle = {10th International Conference on Language Resources and Evaluation ({LREC} 2016)},
publisher = {{European Language Resources Association (ELRA)}},
address = {Portoro{\v z}, Slovenia},
day = {28},
month = may,
year = {2016},
language = {english},
url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/16020.pdf}
}