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3D Accelerometer based Gesture Device for the Recognition of Digits

by Himani Arora
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 15
Year of Publication: 2015
Authors: Himani Arora
10.5120/20230-2528

Himani Arora . 3D Accelerometer based Gesture Device for the Recognition of Digits. International Journal of Computer Applications. 115, 15 ( April 2015), 30-35. DOI=10.5120/20230-2528

@article{ 10.5120/20230-2528,
author = { Himani Arora },
title = { 3D Accelerometer based Gesture Device for the Recognition of Digits },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 15 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number15/20230-2528/ },
doi = { 10.5120/20230-2528 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:54:56.792487+05:30
%A Himani Arora
%T 3D Accelerometer based Gesture Device for the Recognition of Digits
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 15
%P 30-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Gesture recognition helps in the development of a more natural and intuitive human computer interaction. It has several applications in virtual reality and can be used to control robots as well as home appliances. In this paper, the design and working of a compact handheld device that works with a computer to recognize hand gestures has been presented. A single 3-D accelerometer has been used for sensing the motion and Support Vector Machine has been employed for recognizing the gesture. The data processing has been implemented in MATLAB and a graphical user interface has also been developed to make the application user friendly. All digits from 0-9 have been recognized with a high accuracy for both user dependent and independent gesture recognition. In contrast to the previous models for digit recognition, a simpler approach that uses frame based temporal features has been presented to give a high recognition rate. .

References
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Index Terms

Computer Science
Information Sciences

Keywords

Human Computer Interaction Digit recognition

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