Open AccessSign Language Detector using cloud
Author(s) -
Taokeer Alam,
R. Sakthi Murugan
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40428
Subject(s) - sign language , computer science , gesture , sign (mathematics) , detector , thumb , centroid , gesture recognition , artificial intelligence , computer vision , orientation (vector space) , american sign language , user friendly , pixel , human–computer interaction , linguistics , mathematics , telecommunications , medicine , mathematical analysis , philosophy , geometry , anatomy , operating system
Peoples who are deaf/dumb use Sign language to convey their message to normal people. Sign language detector using cloud provides us an innovative, user friendly way of interaction with the computer which is more familiar to human beings. Sign language detector has a wide area of application including human machine interaction, sign language, immersive game technology etc. By keeping in mind, the similarities of human hand shape with four fingers and one thumb, this paper aims to present a real time system for sign language detector on the basis of detection of some meaningful shape-based features like orientation, center of mass (centroid), status of fingers, thumb in terms of raised or folded fingers of hand and their respective location in image. The approach introduced in this paper is totally depending on the shape parameters of the hand gesture. It does not consider any other means of hand gesture recognition like skin color, texture because these image-based features are extremely variant to different light conditions and other influences. To implement this approach, we have utilized a simple web cam which is working on 20 fps with 7 mega pixel intensity. Keywords: Sign language detector, cloud