Open AccessHand Gesture Recognition and Voice Conversion for Hearing and Speech Aided Community
Author(s) -
Kiran Divya,
E Harish,
Nikhil Jain D,
Nirdesh Reddy B
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit206346
Subject(s) - gesture , sign language , computer science , gesture recognition , support vector machine , speech recognition , classifier (uml) , naive bayes classifier , feature extraction , random forest , artificial intelligence , pattern recognition (psychology) , linguistics , philosophy
Sign language recognition (SLR) aims to interpret sign languages automatically by a computer in order to help the deaf communicate with hearing society conveniently. Our aim is to design a system to help the person who trained the hearing impaired to communicate with the rest of the world using sign language or hand gesture recognition techniques. In this system, feature detection and feature extraction of hand gesture is done with the help of Support Vector Machine (SVM), K-Neighbors-Classifier, Logistic-Regression, MLP-Classifier, Naive Bayes, Random-Forest-Classifier algorithms are using image processing.