Recognition of Two Hand Gestures of word in British Sign Language (BSL)
Pingale Prerna Rambhau · 2013
Abstract- This paper presents the implementation and analysis of a real time stereo vision hand tracking system that can be used for interaction purpose. In real time, the system can track the 3D position and 2D orientation of thumb and index finger of each hand without the use of special markers and gloves. For someone who can hear, it is difficult to imagine what it is like to be deaf. Many people associate ‘deaf with handicapped’, but this is not really correct. A handicapped person, like someone who is blind, has trouble functioning independently in everyday life. Deaf people do not have this problem: they can ride a bike, drive a car, go to work, shop, and go on vacation like everybody else. The greatest problem for a deaf person is “Communication”. The main motive of the paper is to simplify the communication between normal and deaf people and bring them in normal flow of society. To study the first phase of the finger spelling recognition task involves the segmentation of finger spelling hand gestures from image sequences. The aim of this paper to convert finger spelled word to text (Character by Character) as well as speech. Second phase includes Text to Image conversion process. In this sentences are scanned entered by user and then alphabets separation module separate the alphabets from sentences and corresponding image is display to viewers. Here images are nothing but finger spelling alphabets.