Development and validation of a Brazilian sign language database for human gesture recognition-Reference-Cited by-同舟云学术

Development and validation of a Brazilian sign language database for human gesture recognition

Published:2021-03-01 Issue:16 Volume:33 Page:10449-10467
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Rezende Tamires Martins^ORCID,Almeida Sílvia Grasiella Moreira^ORCID,Guimarães Frederico Gadelha^ORCID

Funder

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Instituto Federal de Minas Gerais

Fundaçao de Amparo à Pesquisa do Estado de Minas Gerais

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-05802-4.pdf

Reference106 articles.

1. Al-Hammadi M, Muhammad G, Abdul W, Alsulaiman M, Hossain MS (2019) Hand gesture recognition using 3D-CNN model. IEEE Consum Electron Mag 9(1):95–101

2. Al-Rousan M, Assaleh K, Tala’a A (2009) Video-based signer-independent Arabic sign language recognition using hidden Markov models. Appl Soft Comput 9(3):990–999

3. Almeida SGM (2014) Extração de características em reconhecimento de parâmetros fonológicos da Língua Brasileira de Sinais utilizando sensores RGB-D, Ph.D. thesis. Universidade Federal de Minas Gerais. https://www.ppgee.ufmg.br/defesas/303D.PDF. Accessed 03 Mar 2020. (in Portuguese)

4. Almeida SGM (2014) Libras-34 Dataset (Kinect v1). Zenodo. https://doi.org/10.5281/zenodo.4451526. Accessed 03 Sept 2020

5. Almeida SGM, Guimarães FG, Ramírez JA (2014) Feature extraction in Brazilian sign language recognition based on phonological structure and using RGB-D sensors. Expert Syst Appl 41(16):7259–7271

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