A comprehensive review on automation of Indian sign language

Author

Verma, Vivek Kumar ; Srivastava, Sumit ; Kumar, Naveen

Author_Institution

Comput. Sci. & Eng., Manipal Univ. Jaipur, Jaipur, India

fYear

2015

fDate

19-20 March 2015

Firstpage

138

Lastpage

142

Abstract

Hearing impaired people uses signs to communicate with others. Just like verbally spoken languages, there is no universal language as every country has its own spoken language so every country has their own dialect of sign language and in India they uses Indian Sign Language (ISL). In the last few years, researchers take interest in the automation of ISL. Some attempts have been made in India and other countries. In this study we try to explore and analyze the work have been made with automation of sign language and gesture recognition. We tried to explore the challenges comes in the real time sign recognition system. This review also includes the progress of standard corpus creation of the ISL.

Keywords

gesture recognition; handicapped aids; sign language recognition; ISL; Indian sign language automation; corpus creation; gesture recognition; hearing impaired people; sign recognition system; universal language; verbally spoken languages; Assistive technology; Computers; Conferences; Gesture recognition; Hidden Markov models; Neural networks; Shape; Automated Indian sign language; ISL; gesture recognition; linguistic; machine translation; sign corpus;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in

Conference_Location

Ghaziabad

Type

conf

DOI

10.1109/ICACEA.2015.7164682

Filename

7164682