Publication detail
Classification of Czech Sign Language Alphabet Diacritics via LSTM
ŠNAJDER, J. KREJSA, J.
English title
Classification of Czech Sign Language Alphabet Diacritics via LSTM
Type
conference paper
Language
en
Original abstract
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%.
English abstract
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%.
Keywords in English
Czech sign language; classification; MediaPipe; image sequence; Long Short-Term Memory
Released
09.12.2022
Publisher
Institute of Electrical and Electronics Engineers Inc.
Location
Pilsen
ISBN
978-1-6654-1039-7
Book
2022 20th International Conference on Mechatronics - Mechatronika (ME)
Pages from–to
178–182
Pages count
5
BIBTEX
@inproceedings{BUT182996,
author="Jan {Šnajder} and Jiří {Krejsa},
title="Classification of Czech Sign Language Alphabet Diacritics via LSTM",
booktitle="2022 20th International Conference on Mechatronics - Mechatronika (ME)",
year="2022",
month="December",
pages="178--182",
publisher="Institute of Electrical and Electronics Engineers Inc.",
address="Pilsen",
isbn="978-1-6654-1039-7"
}