article · Open Journal Systems (Global Science & Technology Forum) · 2014
SIGN LANGUAGE
., R.Dhanagopal, ., B.Manivasakam
Cited by 0Abstract and details only
Abstract
Usually a human interaction focuses on the sound world, where the communication is based on the speech and in which most information is conveyed via voice and other sounds. However, there are people who live in the world of silence. For them nothing can be heard, as they are hearing impaired. For all of them a voice communication is impossible or troublesome. Hence they have invented a sign language. The sign language consists of a grammar and a vocabulary. Usually the grammar is significantly different to the spoken and written languages. Whereas the vocabulary is composed of many hand gestures and hand movements which convey the most important information, but which are supported by the whole body movement and facial expressions. Considering the differences in the way the hearing impaired observe the world, they encounter huge difficulties while learning and using the writing language, which is so common in daily communication. Since this sign language cannot be understand by others, we are in need of systems which can understand sign language. The existing systems handle that task not appropriate and accurate. We introduce the concept of a chat for the sign language based communication, which overcomes the deficiencies of the existing approaches. In the current system there is an action sensor available, this sensor has pressure switches when any pressure is given then the pressure switch will be closed and the signal is given to microcontroller. The microcontroller senses the signal coming from the pressure switch and it understands the switch position and it sends the command signal to the computer through RS232 cable. The RS232 cable is used to convert microcontroller understandable signal to computer understandable signal. As soon as the computer gets the signal the program written in the computer will detect the particular word and it will be played at the same instant. That’s how the sign language is converted in to voice language.
Cite this paper
., R., & ., B. (2014). SIGN LANGUAGE. Open Journal Systems (Global Science & Technology Forum).
., R.Dhanagopal, and B.Manivasakam . “SIGN LANGUAGE.” Open Journal Systems (Global Science & Technology Forum), 2014.
., R.Dhanagopal, and B.Manivasakam . 2014. “SIGN LANGUAGE.” Open Journal Systems (Global Science & Technology Forum).
., R. and ., B. (2014) ‘SIGN LANGUAGE’, Open Journal Systems (Global Science & Technology Forum).
@article{anon2014sign,
title = {{SIGN LANGUAGE}},
author = {., R.Dhanagopal and ., B.Manivasakam},
journal = {Open Journal Systems (Global Science & Technology Forum)},
year = {2014}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.