Czech Sign Language Single Hand Alphabet Classification with MediaPipe

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU144905" target="_blank" >RIV/00216305:26210/22:PU144905 - isvavai.cz</a>

Result on the web

<a href="https://www.engmech.cz/improc/2022/381.pdf" target="_blank" >https://www.engmech.cz/improc/2022/381.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Czech Sign Language Single Hand Alphabet Classification with MediaPipe

Original language description

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%.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů