LSU-DS: An Uruguayan Sign Language Public Dataset for Automatic Recognition

Ariel Stassi, Marcela Tancredi, Roberto Aguirre, Alvaro Gómez, Bruno Carballido, Bruno Carballido, Andrés Méndez, Sergio Beheregaray, Alejandro Fojo, Víctor Koleszar, Gregory Randall

2022

Abstract

The first Uruguayan Sign Language public dataset for automatic recognition (LSU-DS) is presented. The dataset can be used both for linguistic studies and for automatic recognition at different levels: alphabet, isolated signs, and sentences. LSU-DS consists of several repetitions of three linguistic tasks by 10 signers. The registers were acquired in an indoor context and with controlled lighting. The signers were freely dressed without gloves or specific markers for recognition. The recordings were acquired by 3 simultaneous cameras calibrated for stereo vision. The dataset is openly available to the community and includes gloss information as well as both the videos and the 3D models generated by OpenPose and MediaPipe for all acquired sequences.

Paper Citation

in Harvard Style

Stassi A., Tancredi M., Aguirre R., Gómez A., Carballido B., Méndez A., Beheregaray S., Fojo A., Koleszar V. and Randall G. (2022). LSU-DS: An Uruguayan Sign Language Public Dataset for Automatic Recognition. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-549-4, pages 697-705. DOI: 10.5220/0010894200003122

in Bibtex Style

@conference{icpram22,
author={Ariel Stassi and Marcela Tancredi and Roberto Aguirre and Alvaro Gómez and Bruno Carballido and Andrés Méndez and Sergio Beheregaray and Alejandro Fojo and Víctor Koleszar and Gregory Randall},
title={LSU-DS: An Uruguayan Sign Language Public Dataset for Automatic Recognition},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2022},
pages={697-705},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010894200003122},
isbn={978-989-758-549-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - LSU-DS: An Uruguayan Sign Language Public Dataset for Automatic Recognition
SN - 978-989-758-549-4
AU - Stassi A.
AU - Tancredi M.
AU - Aguirre R.
AU - Gómez A.
AU - Carballido B.
AU - Méndez A.
AU - Beheregaray S.
AU - Fojo A.
AU - Koleszar V.
AU - Randall G.
PY - 2022
SP - 697
EP - 705
DO - 10.5220/0010894200003122