Classification of Czech sign language alphabet letters using cnn – preliminary study

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F20%3A00535189" target="_blank" >RIV/61388998:_____/20:00535189 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.21495/5896-3-310" target="_blank" >http://dx.doi.org/10.21495/5896-3-310</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21495/5896-3-310" target="_blank" >10.21495/5896-3-310</a>

Result language
angličtina
Original language name
Classification of Czech sign language alphabet letters using cnn – preliminary study
Original language description
Abstract: The paper deals with the classification of Czech sign language single hand alphabet letters from static images using convolutional neural network (CNN). Proposed CNN architecture exhibits about 71% successful rate of classifying the letters signed by the person not included in the training data set.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ENGINEERING MECHANICS 2020
ISBN
978-80-214-5896-3
ISSN
1805-8248
e-ISSN
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Number of pages
4
Pages from-to
310-313
Publisher name
Brno University of Technology Institute of Solid Mechanics, Mechatronics and Biomechanics
Place of publication
Brno
Event location
Brno
Event date
Nov 24, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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