Convolutional Neural Network for Detection of Sign Language
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-5 |
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| Year of Publication : 2019 | ||
| Authors : Dr.Mahesh kaluti, Manoj Athreya C.S, Manish M.G,M.P Mahadeva Aradhya,Raghavendra S | ||
| DOI : 10.14445/22312803/IJCTT-V67I5P106 |
MLA Style:Dr.Mahesh kaluti, Manoj Athreya C.S, Manish M.G,M.P Mahadeva Aradhya,Raghavendra S"Convolutional Neural Network for Detection of Sign Language" International Journal of Computer Trends and Technology 67.5 (2019): 34-37.
APA Style:Dr.Mahesh kaluti, Manoj Athreya C.S, Manish M.G,M.P Mahadeva Aradhya,Raghavendra S(2019). Convolutional Neural Network for Detection of Sign Language International Journal of Computer Trends and Technology, 67(5), 34-37.
Abstract
Sign languages are languages that use manual communication to convey meaning. This can include simultaneously employing hand gestures, movement, orientation of the fingers, arms or body, and facial expressions to convey speaker’s idea. Sign language is an incredible advancement that has grown over the years. Sign language helps the deaf and dumb communities to go on about their daily lives. Unfortunately, there has some drawbacks that has come along with this language. Not everyone knows how to interpret or understand sign language while conversing with a deaf -mute person. To solve this, we need a product that is versatile and robust, which needs to convert sign language into text or written format so that it is understood by everyone.
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Keywords
Convolutional Neural Networks, Machine learning, Computer Vision, Sign language