Leap Motion based Myanmar Sign Language Recognition using Machine Learning

Sign language is the main communication language for deaf and dumb people. There have many difficulties for deaf and dumb people when they communicate with normal people. Only a few people can use Sign Language proficiently and most of the people don't know how to communicate the deaf people. F...

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Bibliographic Details
Published in2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus) pp. 2304 - 2310
Main Authors Hein, Zaw, Htoo, Thet Paing, Aye, Bawin, Htet, Sai Myo, Ye, Kyaw Zaw
Format Conference Proceeding
LanguageEnglish
Published IEEE 26.01.2021
Subjects
Assistive technology
Component localization
Computer vision
Face recognition
Feature extraction
Gesture recognition
Human Computer Interaction
Machine learning
Manuals
Motion segmentation
Sign language recognition
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Summary:Sign language is the main communication language for deaf and dumb people. There have many difficulties for deaf and dumb people when they communicate with normal people. Only a few people can use Sign Language proficiently and most of the people don't know how to communicate the deaf people. From the point of view of computer vision, we can develop the sign language recognition for deaf and dumb people. Most of the sign language recognition systems are based on the static sign. In motion-based sign language recognition system, we proposed feature extraction method and recognition using machine learning. Every nation has its own sign language and our proposed system is based on Myanmar National Sign Language.
ISSN:2376-6565
DOI:10.1109/ElConRus51938.2021.9396496