Czech Sign Language Single Hand Alphabet Letters Classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F20%3A00536892" target="_blank" >RIV/61388998:_____/20:00536892 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9286667" target="_blank" >https://ieeexplore.ieee.org/document/9286667</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ME49197.2020.9286667" target="_blank" >10.1109/ME49197.2020.9286667</a>

Result language
angličtina
Original language name
Czech Sign Language Single Hand Alphabet Letters Classification
Original language description
The paper deals with the classification of images of Czech sign language alphabet, single handed version in particular, without diacritics. The classification is performed by convolution neural network using TensorFlow computational library. Network topology, data acquisition and automatic labelling and obtained results are described in the paper. The accuracy on the test data - captured images of a person not previously seen by the network – was over 87%.
Czech name
—
Czech description
—

Project
—
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
Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020
ISBN
978-172815601-9
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
1-341
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
New York
Event location
Praha
Event date
Dec 2, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)