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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Verma, V.K. Srivastava, S. Kumar, N. |
| Copyright Year | 2015 |
| Description | Author affiliation: Comput. Sci. & Eng., IMSEC, Ghaziabad, India (Kumar, N.) || Comput. Sci. & Eng., Manipal Univ. Jaipur, Jaipur, India (Verma, V.K.; Srivastava, S.) |
| 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. |
| Starting Page | 138 |
| Ending Page | 142 |
| File Size | 252744 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781467369114 |
| DOI | 10.1109/ICACEA.2015.7164682 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-03-19 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers Shape ISL Linguistic Sign corpus Assistive technology Conferences Automated Indian sign language Neural networks Hidden Markov models Gesture recognition Machine translation |
| Content Type | Text |
| Resource Type | Article |
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