A Novel Technique of Sign Language Recognition System using Machine Learning for Differently Abled Person

Rashid Husain*
Periodicity:December - February'2022


Sign-language is the language used by deaf and dumb people for communication using hand gestures or facial expression with the help of combination with non- manual elements. Various automotive tools and software have been developed by many developers, but they require hardware tools and internet connectivity which increase the cost of the software. In this paper, the introduced software captures the hand gesture and by using different machine learning’s optimization algorithms like SGD and ADAM, accuracy will be determined to give the predictive meaning. This can be a new way of learning for the deaf and dumb people by using the computers. In this kind of pandemic, various team learning applications and software have been developed for the purpose of giving online classes, but they are useful for normal human beings. The usage of this technique will help deaf and dumb people for their online learning.


Sign-language, deaf-dumb people, hand gestures, machine learning, learning software.

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