10.5281/zenodo.6337885
https://zenodo.org/records/6337885
oai:zenodo.org:6337885
Antonio F. G. Sevilla
Antonio F. G. Sevilla
0000-0001-9025-1724
Universidad Complutense de Madrid
José María Lahoz-Bengoechea
José María Lahoz-Bengoechea
0000-0002-4654-6776
Universidad Complutense de Madrid
Alberto Díaz Esteban
Alberto Díaz Esteban
0000-0003-1966-3421
Universidad Complutense de Madrid
VisSE corpus of Spanish SignWriting
Zenodo
2022
Sign Language
SignWriting
Graphical Language
Machine Learning
2022-03-08
ssp
10.1007/s10579-023-09694-9
10.1109/ACCESS.2023.3242203
10.5281/zenodo.6337884
2.0.0
Creative Commons Attribution 4.0 International
The VisSE corpus is a collection of SignWriting instances, annotated graphically and semantically to capture all the meaning, both lexical and visual, of SignWriting. The samples are handwritten, and codify signs or parts of signs from Spanish Sign Language. It also includes trained neural networks for the automatic recognition of SignWriting. It can be used with Quevedo or with third party tools thanks to its standard and open format. The VisSE corpus is the result of the VisSE Project, financed by Indra and Fundación Universia in the program for funding of research projects on Accesible Technologies.