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

  1. 1.
    0535189 - ÚT 2021 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
    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]
    Institucionální podpora: RVO:61388998
    Klíčová slova: classification * sign language * convolution neural network
    Obor OECD: Robotics and automatic control

    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.
    Trvalý link: http://hdl.handle.net/11104/0316611

     
     
Počet záznamů: 1