Sign Language Detector using cloud
Taokeer Alam, Murugan Ramasamy · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: 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