Enabling the Disabled using Machine Learning and Natural Language Processing
| Autor: | Abdullah Shaikh, Nafisa Mapari, Zaid Siddiqui, Atik Shaikh |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
business.industry
Computer science 0202 electrical engineering electronic engineering information engineering 020206 networking & telecommunications 020207 software engineering 02 engineering and technology Artificial intelligence business computer.software_genre computer Natural language processing |
| Zdroj: | International Journal of Advanced Research in Science, Communication and Technology. :172-179 |
| ISSN: | 2581-9429 |
| DOI: | 10.48175/ijarsct-1117 |
| Popis: | Humans communicate with each other through natural language channels such as words and writing, or through body language (gestures) such as hand and head gestures, facial expression, lip motion, etc. There are some examples of natural languages that people use to communicate with each other. We all know that understanding natural language is essential, learning sign language is also very important. For disable people, sign language is the primary communication method for hearing. As there is no translator for communicating among them, so they face problems in communicating. So this is the motivation for us to create a system that recognizes sign language to impact deaf people's social lives significantly. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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