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Vision Based Gesture Recognition System

Priyanka Parvathy Dali1 , Hema C.R2

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-3 , Page no. 63-67, Mar-2015

Online published on Mar 31, 2015

Copyright © Priyanka Parvathy Dali , Hema C.R . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Priyanka Parvathy Dali , Hema C.R, “Vision Based Gesture Recognition System,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.3, pp.63-67, 2015.

MLA Style Citation: Priyanka Parvathy Dali , Hema C.R "Vision Based Gesture Recognition System." International Journal of Computer Sciences and Engineering 3.3 (2015): 63-67.

APA Style Citation: Priyanka Parvathy Dali , Hema C.R, (2015). Vision Based Gesture Recognition System. International Journal of Computer Sciences and Engineering, 3(3), 63-67.

BibTex Style Citation:
@article{Dali_2015,
author = {Priyanka Parvathy Dali , Hema C.R},
title = {Vision Based Gesture Recognition System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2015},
volume = {3},
Issue = {3},
month = {3},
year = {2015},
issn = {2347-2693},
pages = {63-67},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=422},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=422
TI - Vision Based Gesture Recognition System
T2 - International Journal of Computer Sciences and Engineering
AU - Priyanka Parvathy Dali , Hema C.R
PY - 2015
DA - 2015/03/31
PB - IJCSE, Indore, INDIA
SP - 63-67
IS - 3
VL - 3
SN - 2347-2693
ER -

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Abstract

Lately, the research world has been aggressively exploring techniques and means to develop effective systems for Human Computer Interaction (HCI). Humans interact with computers using different interfaces like Graphical User Interfaces (GUI), Voice User Interfaces (VUI) and Gestures. Among these methods gesture interaction provides a very handy means of dealing with computers. The goal of gesture recognition is to recognize and differentiate the human gestures and make use of these gestures for applications in specific areas. The aim of this paper is to provide a survey on numerous techniques employed for gesture recognition, and to outline preliminary system architecture for implementation.

Key-Words / Index Term

Gesture Recognition, Segmentation, Feature Extraction, Gesture Classification

References

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