Automated Bangla sign language translation system for alphabets by means of MobileNet

The persons who are unable to speak and hear, however, cannot communicate this way. [...]many cultures have developed their own language for communicating with the speaking and hearing impairedpeople. [...]most people of this country do not know sign language of Bangla language. [...]an automated pr...

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Bibliographic Details
Published inTelkomnika Vol. 18; no. 3; pp. 1292 - 1301
Main Authors Angona, Tazkia Mim, Shaon, A. S. M. Siamuzzaman, Niloy, Kazi Tahmid Rashad, Karim, Tajbia, Tasnim, Zarin, Reza, S. M. Salim, Mahbub, Tasmima Noushiba
Format Journal Article
LanguageEnglish
Published Yogyakarta Ahmad Dahlan University 01.06.2020
Subjects
Accuracy
Algorithms
Alphabets
Automation
Bengali
Communication
Datasets
Discriminant analysis
Feature extraction
Hearing disorders
Human communication
Language translation
Neural networks
Principal components analysis
Sign language
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Summary:The persons who are unable to speak and hear, however, cannot communicate this way. [...]many cultures have developed their own language for communicating with the speaking and hearing impairedpeople. [...]most people of this country do not know sign language of Bangla language. [...]an automated process that can translate the sign language into natural spoken language is necessary. Two different techniques namely PCA and LDA were used and compared as feature extractor where PCA stands for principal component analysis and LDA stands for Linear Discriminant Analysis.
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v18i3.15311