Proceedings Vol. 27/28 (2022)
ENGINEERING MECHANICS 2022
May 9 – 12, 2022, Milovy, Czech Republic
Copyright © 2022 Institute of Theoretical and Applied Mechanics of the Czech Academy of Sciences, Prague
ISBN 978-80-86246-51-2 (electronic)
ISSN 1805-8248 (printed)
ISSN 1805-8256 (electronic)
list of papers scientific commitee
pages 381 - 384, full text
The paper presents the classification of static images of the single-handed Czech sign language alphabet. It uses the framework MediaPipe for annotation, and the classification is performed by a neural network using the TensorFlow computational library. The flow of the proposed method, data acquisition, preprocessing, and training are described in the paper. Obtained results consist of the classification success rate of the validation dataset for various MediaPipe configurations. The overall success rate was around 94%.
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All papers were reviewed by members of the scientific committee.