Design and Development of Android App for Sign language recognition using Machine Learning
Abstract
Sign language is the only tool of communication for a person who is not able to speak and hear anything. Sign language is a boon for physically challenged people to express their thoughts and emotions. In this work, a novel scheme of sign language recognition has been proposed for identifying the alphabet and gestures in sign language. With the help of computer vision and neural networks, we can detect the signs and give the respective text output.
Speech-impaired people use hand signs and gestures to communicate. Normal people face difficulty in understanding their language. Hence there is a need for a system that recognizes the different signs, and gestures and conveys the information to normal people. It bridges the gap between physically challenged people and normal people.
Project Domain
It is a language that includes gestures made with the hands. It is used primarily by people who are deaf and dumb
A functioning signing recognition system could provide a chance for the inattentive communicate with non-signing people without the necessity for an interpreter.
It might be wont to generate speech or text making the deaf more independent.
As these speech impairments and deaf people need a proper channel to communicate with normal people there is a need for a system.
Problem Statement
Speech-impaired people use hand signs and gestures to communicate. Normal people face difficulty in understanding their language. Hence there is a need for a system that recognizes the different signs, and gestures and conveys the information to normal people. It bridges the gap between physically challenged people and normal people.
Objectives of the Project Work
· The process of converting the signs and gestures shown by the user into text is called sign language recognition.
· Image processing algorithms along with neural networks is used to map the gesture to appropriate text in the training data and hence raw images are converted into respective text that can be read and understood.
Gestures are the non-verbally exchanged information. A person can perform innumerable gestures at a time.
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