Sign Language Recognition Tool using Artificial Intelligence

Sign Language Recognition Tool using Artificial Intelligence
Author(s):
K Anish Shetty, Swathi H S, Taanya Manjunath, Naveen P, Krishna Prasad. R
Keywords:
Hand Gesture, Recurrent Neural Network (RNN), Sign Language Recognition, Indian Sign Language.
Abstract
Communicating with people with hearing loss is often an important task. The problem with Indian sign language is that sign language is not always sufficient for verbal communication between people. Focus on the following words, for people with disabilities, guidance using resources from people with mixed disabilities or confusion for people who have not learned the language. Conversation needs to be made using two methods. In this article we show you how to use it. Indian Sign Language A user who knows sign language is expected to be able to capture gestures, images and words using an internet camera in this test, allowing the device to retrieve and display the name of the captured image. We go through a process that involves various laptop vision technologies, such as conversion to grayscale expansion and masking to neural networks. CNN was used to train our models and view our models' images with approximately 90% accuracy.
Article Details
Unique Paper ID: 162130 Publication Volume & Issue: Volume 10, Issue 8 Page(s): 47 - 50
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