المؤلفون: Vivek Kumar Verma, Sumit Srivastava, Naveen Kumar

المصدر: 2015 International Conference on Advances in Computer Engineering and Applications.

مصطلحات موضوعية: Machine translation, business.industry, Computer science, Manually coded language, Sign (semiotics), Universal language, Sign language, computer.software_genre, language.human_language, Linguistics, Gesture recognition, language, Artificial intelligence, business, Language interpretation, computer, Natural language processing, Spoken language

الوصف: 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.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d4564f89582a2abd448db396cd625121
https://doi.org/10.1109/icacea.2015.7164682