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Analysing the Sign Language: Parameters Based on Markov Model

Gautam Anand

Student, Sanskriti School, Chanakyapuri, New Delhi

112-116

Vol: 7, Issue: 4, 2017

Receiving Date: 2017-09-08 Acceptance Date:

2017-11-09

Publication Date:

2017-11-10

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Abstract

Communication is the way of sending data from one person to another by any means, i.e. by phone, email or anything, but on the other hand some people are unable to share their feelings because of speech and hearing problems. The hand gesture is the non-verbal strategy for correspondence utilized alongwith verbal correspondence. An increasingly sorted out type of hand signal correspondence is known as gesture-based communication. In this language, every letter in order of the English vocabulary is allocated a sign. The physically disabled individuals like those hard of hearing or with speech disorders can use this language to speak with one another. The possibility of this task is to structure a framework that can comprehend the gesture-based communication precisely so that the affected individuals may communicate withthe outside world without the need of a translator. By remembering the way that in ordinary cases each person has a similar handshape with four fingers and one thumb, this task goes for planning an ongoing framework for the acknowledgment of some essential shapes made utilizing hands.

Keywords: Hidden Markov model; Sign language

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