We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Implementation of Hand Detection based Techniques for Human Computer Interaction

by Amiraj Dhawan, Vipul Honrao
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 17
Year of Publication: 2013
Authors: Amiraj Dhawan, Vipul Honrao
10.5120/12632-9151

Amiraj Dhawan, Vipul Honrao . Implementation of Hand Detection based Techniques for Human Computer Interaction. International Journal of Computer Applications. 72, 17 ( June 2013), 6-13. DOI=10.5120/12632-9151

@article{ 10.5120/12632-9151,
author = { Amiraj Dhawan, Vipul Honrao },
title = { Implementation of Hand Detection based Techniques for Human Computer Interaction },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 17 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number17/12632-9151/ },
doi = { 10.5120/12632-9151 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:49.629165+05:30
%A Amiraj Dhawan
%A Vipul Honrao
%T Implementation of Hand Detection based Techniques for Human Computer Interaction
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 17
%P 6-13
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The computer industry is developing at a fast pace. With this development almost all of the fields under computers have advanced in the past couple of decades. But the same technology is being used for human computer interaction that was used in 1970's. Even today the same type of keyboard and mouse is used for interacting with computer systems. With the recent boom in the mobile segment touchscreens have become popular for interaction with cell phones. But these touchscreens are rarely used on traditional systems. This paper tries to introduce methods for human computer interaction using the user's hand which can be used both on traditional computer platforms as well as cell phones. The methods explain how the user's detected hand can be used as input for applications and also explain applications that can take advantage of this type of interaction mechanism [1] [2].

References
  1. Chao Hy Xiang Wang, Mrinal K. Mandal, Max Meng, and Donglin Li, "Efficient Face and Gesture Recognition Techniques for Robot Control", CCECE, 1757-1762, 2003.
  2. AsanterabiMalima, ErolOzgur, and Mujdat Cetin, "A Fast Algorithm for Vision-Based Hand Gesture Recognition for Robot Control", IEEE International Conference on Computer Vision, 2006.
  3. O'reilly, Learning OpenCV, Computer Vision in C++ with the OpenCV Library, Adrian Kaebler and Gary Bradski.
  4. OpenCV usage documentationhttp://docs. opencv. org
  5. Thresholdinghttp://www. cse. unr. edu/~bebis/CS791E/Notes/Thresholding. pdf
  6. Threshold Function using OpenCVhttp://docs. opencv. org/modules/imgproc/doc/miscellaneous_transformations. html
  7. Contours, Convex Hull and Convexity Defects http://docs. opencv. org/modules/imgproc/doc/structural_analysis_and_shape_descriptors. html
  8. Harish Kumar Kaura, VipulHonrao, SayaliPatil, PravishShetty, "Gesture Controlled Robot using Image Processing", IJARAI 2013, Volume 2 No 5, Page 69-77.
  9. AmirajDhawan, AnuradhaBhat, Soumya Sharma, Harish Kumar Kaura, "Automated Robot with Object Recognition and Handling Features", IJECSE Volume 2, Number 3, 2013, Page 861-873.
Index Terms

Computer Science
Information Sciences

Keywords

OpenCV Thresholding Contour Convex Hull Convexity Defects Gesture Controlled Robot Pick and Place Robot Finger Tracking Hand Orientation