IoT Based Sign Language Recognition System
Keywords:
sign language, internet of things, gesture recognition, smart glove, recurrent neural network
Abstract
Sign language is the key communication medium which deaf and mute people use in their day-to-day life Talking to disabled people will cause a difficult situation since a non- mute person cannot understand their hand gestures and in many instances mute people are hearing impaired Same as Sinhala Tamil English or any other language sign language also tend to have differences according to the region This paper is an attempt to assist deaf and mute people to develop an effective communication mechanism with non-mute people The end product of this project is a combination of a mobile application that can translate the sign language into digital voice and IoT enabled light-weighted wearable glove which capable of recognizing twenty-six English alphabet 0-9 numbers and words Better user experience provide with voice-to-text feature in mobile application to reduce the communication gap within mute and non-mute communities Research findings and results from current system visualize the output of the product can be optimized up to 25 -35 with enhanced pattern recognition mechanism
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Published
2020-01-15
Issue
Section
License
Copyright (c) 2020 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.