Can I read Image-Based Number Sign Recognition for Ethiopian Sign Language Using Support Vector Machine on EtoBox?

Image-Based Number Sign Recognition for Ethiopian Sign Language Using Support Vector Machine by Ayodeji Olalekan Salau; Nigus Kefyalew Tamiru; Deepak Arun is a book available to read on EtoBox.

What is Image-Based Number Sign Recognition for Ethiopian Sign Language Using Support Vector Machine about?

Sign language is one of the means of communication used by hearing and speech impaired people to communicate, share their feelings, attitudes, and interact with normal people and their peers . According to the World Health Organization (WHO) , there are 360 million people worldwide who are deaf, of which 32 million of them are children, which represent approximately 5% of the worlds population. According to the central statistics agency report in 2007, it's estimated that more than 1.5 million deaf people live in Ethiopia . Hearing challenged persons can communicate with each other and normal people by using speech, reading and writing, and sign language. Communication through sign language is preferable for normal and hearing impaired people. However, there is a communication gap between the normal and hearing impaired people, since normal people have no or little knowledge of sign language. Therefore, to minimize the communication gap between normal and hearing impaired people in Ethiopia, this study presents a method for Ethiopian sign language (ETHSL) recognition based on local numbers.

Author

Ayodeji Olalekan Salau; Nigus Kefyalew Tamiru; Deepak Arun

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2022

Language

EN

ISBN

9788981194833

Subjects

Computer Science, Business, Engineering