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Detail publikačního výsledku
ŠNAJDER, J.; BEDNAŘÍK, J.
Originální název
Czech Sign Language Single Hand Alphabet Classification with MediaPipe
Anglický název
Druh
Stať ve sborníku mimo WoS a Scopus
Originální abstrakt
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%.
Anglický abstrakt
Klíčová slova
Czech sign language, Fingerspelling, Classification, Mediapipe, Neural network
Klíčová slova v angličtině
Autoři
Rok RIV
2022
Vydáno
09.05.2022
Nakladatel
Institute of Theoretical and Applied Mechanics of the Czech Academy of Sciences
Místo
Prague
ISBN
ISBN 978-80-86246-51
Kniha
ENGINEERING MECHANICS 2022
ISSN
1805-8256
Periodikum
Engineering Mechanics ....
Stát
Česká republika
Strany od
381
Strany do
384
Strany počet
4
URL
https://www.engmech.cz/improc/2022/381.pdf
BibTex
@inproceedings{BUT178377, author="Jan {Šnajder} and Josef {Bednařík}", title="Czech Sign Language Single Hand Alphabet Classification with MediaPipe", booktitle="ENGINEERING MECHANICS 2022", year="2022", journal="Engineering Mechanics ....", number="1", pages="381--384", publisher="Institute of Theoretical and Applied Mechanics of the Czech Academy of Sciences", address="Prague", doi="10.21495/512381", isbn="ISBN 978-80-86246-51", issn="1805-8256", url="https://www.engmech.cz/improc/2022/381.pdf" }