Depth Based Bangla Sign Language Data-set Generation
Date
2019-11-15
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Computer Science and Engineering, Islamic University of Technology, Gazipur, Bangladesh
Abstract
Hearing impaired people have own language called Sign Language
but it is di cult for understanding to general people. Sign language
is the basic method of communication for deaf people during their
everyday of life. Sign digits are also a major part of sign language. So
machine translator is necessary to allow them to communicate with
general people. For making their language understandable to general
people, computer vision based solutions are well known nowadays.
In this research work we aims at constructing a model in deep learn-
ing approach to generate Bangla Sign Language (BdSL) digits. In
this approach there use Depth Based Images to train particular signs
with a respective training dataset for acquiring our aim. This model
will contribute for moving one step forward to make BdSL machine
translator. And open up eld for future works.
Description
Supervised by Prof. Dr. Md. Kamrul Hasan
Keywords
Depth Image, Sign Language, Intel Real Sense, Dataset, Convolution Neural Network (CNN), Hand Gestures.
Citation
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