Detail publikace

Czech Sign Language Single Hand Alphabet Classification with MediaPipe

ŠNAJDER, J. BEDNAŘÍK, J.

Anglický název

Czech Sign Language Single Hand Alphabet Classification with MediaPipe

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

en

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

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 anglicky

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

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

ISSN

1805-8256

Kniha

ENGINEERING MECHANICS 2022

Číslo edice

1

Strany od–do

381–384

Počet stran

4

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",
  month="May",
  pages="381--384",
  publisher="Institute of Theoretical and Applied Mechanics of the Czech Academy of Sciences",
  address="Prague",
  isbn="ISBN 978-80-86246-51",
  issn="1805-8256"
}