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Microcontroller based Hand Gesture Recognition System using Flex Sensor for Disabled People

Published on December 2015 by Aaisha Parveen S., Rohitha U.m.
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National Conference on Electronics and Communication
Foundation of Computer Science USA
NCEC2015 - Number 2
December 2015
Authors: Aaisha Parveen S., Rohitha U.m.
8bebb1e9-cd4e-42a3-b633-2ee7ea55d949

Aaisha Parveen S., Rohitha U.m. . Microcontroller based Hand Gesture Recognition System using Flex Sensor for Disabled People. National Conference on Electronics and Communication. NCEC2015, 2 (December 2015), 12-14.

@article{
author = { Aaisha Parveen S., Rohitha U.m. },
title = { Microcontroller based Hand Gesture Recognition System using Flex Sensor for Disabled People },
journal = { National Conference on Electronics and Communication },
issue_date = { December 2015 },
volume = { NCEC2015 },
number = { 2 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = { 12-14 },
numpages = 3,
url = { /proceedings/ncec2015/number2/23715-1744/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Electronics and Communication
%A Aaisha Parveen S.
%A Rohitha U.m.
%T Microcontroller based Hand Gesture Recognition System using Flex Sensor for Disabled People
%J National Conference on Electronics and Communication
%@ 0975-8887
%V NCEC2015
%N 2
%P 12-14
%D 2015
%I International Journal of Computer Applications
Abstract

In this paper, a communication system is used based on signal languages, used by dumb people. A narrative hand gesture recognition technique is the basis of this paper. This consists of a hardware module and software algorithm. In hardware module- The gesture recognition is done using a sensor glove which consists of a microcontroller, accelerometer sensors which are positioned on fingers. Here the glove designing and gesture decoding are studied. The acceleration values of a hand motion are transmitted to microcontroller and these acceleration values in three perpendicular directions are detected by accelerometers. An algorithm of automatic gesture recognition is developed to identify all gestures in a sequence.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Flex Sensor data Glove gesture Recognition Global System For Mobile Communication