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Classification of Czech Sign Language Alphabet Diacritics via LSTM

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU147803" target="_blank" >RIV/00216305:26210/22:PU147803 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9983436/" target="_blank" >https://ieeexplore.ieee.org/document/9983436/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ME54704.2022.9983436" target="_blank" >10.1109/ME54704.2022.9983436</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Classification of Czech Sign Language Alphabet Diacritics via LSTM

  • Original language description

    The paper presents the classification of image sequences of the single-handed Czech sign language alphabet diacritics. Since diacritics are expressed by the motion of the hand, the classification is performed by the Long Short-Term Memory recurrent neural network. Annotation of the dataset is done by the MediaPipe framework, and the neural network is constructed with the TensorFlow computational library. The paper describes the proposed method's flow, data acquisition, preprocessing, and training. Obtained results consist of the validation dataset's classification success rate and testing on whole signed words and sentences. The overall success rate was around 88%.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2022 20th International Conference on Mechatronics - Mechatronika (ME)

  • ISBN

    978-1-6654-1039-7

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    178-182

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Pilsen

  • Event location

    Pilsen

  • Event date

    Dec 7, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article