Title :
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
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;
Conference_Titel :
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location :
Ghaziabad
DOI :
10.1109/ICACEA.2015.7164682
