Detail publikace

Czech Sign Language Single Hand Alphabet Classification with MediaPipe

ŠNAJDER, J. BEDNAŘÍK, J.

Originální název

Czech Sign Language Single Hand Alphabet Classification with MediaPipe

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

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%.

Klíčová slova

Czech sign language, Fingerspelling, Classification, Mediapipe, Neural network

Autoři

ŠNAJDER, J.; BEDNAŘÍK, J.

Vydáno

9. 5. 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

Číslo edice

1

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"
}