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Czech Sign Language Single Hand Alphabet Letters Classification
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SYSNO ASEP 0536892 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Czech Sign Language Single Hand Alphabet Letters Classification Author(s) Krejsa, Jiří (UT-L) RID, ORCID
Věchet, Stanislav (UT-L) RID, ORCIDNumber of authors 2 Source Title Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020. - New York : Institute of Electrical and Electronics Engineers Inc., 2020 / Maga D. ; Hajek J. - ISBN 978-172815601-9 Pages s. 1-341 Number of pages 5 s. Publication form Print - P Action International Conference on Mechatronics - Mechatronika /19./ Event date 02.12.2020 - 04.12.2020 VEvent location Praha Country CZ - Czech Republic Event type WRD Language eng - English Country US - United States Keywords Czech sign language ; convolution neural network ; classification Subject RIV IN - Informatics, Computer Science OECD category Automation and control systems Institutional support UT-L - RVO:61388998 UT WOS 000662155700018 EID SCOPUS 85099297379 DOI 10.1109/ME49197.2020.9286667 Annotation The paper deals with the classification of images of Czech sign language alphabet, single handed version in particular, without diacritics. The classification is performed by convolution neural network using TensorFlow computational library. Network topology, data acquisition and automatic labelling and obtained results are described in the paper. The accuracy on the test data - captured images of a person not previously seen by the network – was over 87%. Workplace Institute of Thermomechanics Contact Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Year of Publishing 2021 Electronic address https://ieeexplore.ieee.org/document/9286667
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