Sign Language Detection

Sign Language Detection
Author(s):
Vishwas H S, Sourav Nagesh, Suhruth R, Sai Nagesh C H, Manasa Sandeep
Keywords:
OpenCV,Python,facial recognition,LSTM,SVM, CNN,RNN,ANN.
Abstract
Deaf people are people at the deepest psychological level . Many of these people have not been exposed to sign language, and knowing that they can connect with other s by signing 4464s and expressing their love and feelings can bring great relief on a psychological level. It has been observed that approximately 5% of the world's population suffers from hearing loss. Deaf and mute people use sign language as the primary means of expressing their thoughts and ideas to those around them. Uses a variety of hand and body gestures. People use sign language to It is presented in a way that reduces the communication gap with the general public.This project allows people to communicate with the character 's hand poses to recognize various gesture-based characters . The controller for this assistive software is a designed to process images of gestures, recognizing characters using different image processing techniques and deep learning models. The characters are converted to speech in real time using the text-to-speech engine.
Article Details
Unique Paper ID: 157900 Publication Volume & Issue: Volume 9, Issue 8 Page(s): 215 - 218
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