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

Sign language recognition is considered the most important and challenging application in gesture recognition, involving the fields of pattern recognition, machine learning and computer vision. This is mainly due to the complex visual–gestural nature of sign languages and the availability of few dat...

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Bibliographic Details
Published in:	Neural computing & applications Vol. 33; no. 16; pp. 10449 - 10467
Main Authors:	Rezende, Tamires Martins, Almeida, Sílvia Grasiella Moreira, Guimarães, Frederico Gadelha
Format:	Journal Article
Language:	English
Published:	London Springer London 01.08.2021 Springer Nature B.V
Subjects:	Artificial Intelligence Artificial neural networks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Computer vision Data Mining and Knowledge Discovery Data structures Deep learning Gesture recognition Image Processing and Computer Vision Machine learning Original Article Pattern recognition Probability and Statistics in Computer Science Recording Sign language Sign language recognition Deep learning Database MINDS-Libras Brazilian sign language CNN
ISSN:	0941-0643, 1433-3058
Online Access:	Get full text
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