0535189 - ÚT 2021 RIV CZ eng C - Conference Paper (international conference)
Krejsa, Jiří - Věchet, Stanislav
Classification of Czech sign language alphabet letters using cnn – preliminary study.
ENGINEERING MECHANICS 2020. Brno: Brno University of Technology Institute of Solid Mechanics, Mechatronics and Biomechanics, 2020 - (Fuis, V.), s. 310-313. ISBN 978-80-214-5896-3. ISSN 1805-8248.
[International Conference Engineering Mechanics 2020 /26./. Brno (CZ), 24.11.2020-25.11.2020]
Institutional support: RVO:61388998
Keywords : classification * sign language * convolution neural network
OECD category: Robotics and automatic control
DOI: https://doi.org/10.21495/5896-3-310

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.
Permanent Link: http://hdl.handle.net/11104/0316611