Automatic SignWriting Recognition: Combining Machine Learning and Expert Knowledge to Solve a Novel Problem-Reference-Cited by-同舟云学术

Automatic SignWriting Recognition: Combining Machine Learning and Expert Knowledge to Solve a Novel Problem

Published:2023 Issue: Volume:11 Page:13211-13222
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sevilla Antonio F. G.¹^ORCID,Esteban Alberto Diaz¹^ORCID,Lahoz-Bengoechea Jose Maria²^ORCID

Affiliation:

1. Software Engineering and Artificial Intelligence, Universidad Complutense de Madrid, c/ Profesor José García Santesmases, Madrid, Spain

2. Spanish Linguistics and Literary Theory, Universidad Complutense de Madrid, Facultad de Filología edificio D, c/ Prof. Aranguren s/n, Madrid, Spain

Funder

“Visualizando la SignoEscritura”

Indra and Fundación Universia in the IV

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10035941.pdf?arnumber=10035941

Reference31 articles.

1. May the force be with you: Force-aligned signwriting for automatic subunit annotation of corpora

2. A system to generate signwriting for video tracks enhancing accessibility of deaf people;perez;Int J Artif Intell Interact Multimedia,2017

3. A Grammar of Italian Sign Language (LIS)

4. DVC: Data version control—Git for data & models;kuprieiev,2021

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1. Building the VisSE Corpus of Spanish SignWriting;Language Resources and Evaluation;2023-10-26