Research Article
Implementation of Hand Detection based Techniques for Human Computer Interaction
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 72 - Issue 17 |
| Published: June 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 },
year = { 2013 },
volume = { 72 },
number = { 17 },
pages = { 6-13 },
doi = { 10.5120/12632-9151 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Amiraj Dhawan
%A Vipul Honrao
%T Implementation of Hand Detection based Techniques for Human Computer Interaction%T
%J International Journal of Computer Applications
%V 72
%N 17
%P 6-13
%R 10.5120/12632-9151
%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
- 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.
- AsanterabiMalima, ErolOzgur, and Mujdat Cetin, "A Fast Algorithm for Vision-Based Hand Gesture Recognition for Robot Control", IEEE International Conference on Computer Vision, 2006.
- O'reilly, Learning OpenCV, Computer Vision in C++ with the OpenCV Library, Adrian Kaebler and Gary Bradski.
- OpenCV usage documentationhttp://docs. opencv. org
- Thresholdinghttp://www. cse. unr. edu/~bebis/CS791E/Notes/Thresholding. pdf
- Threshold Function using OpenCVhttp://docs. opencv. org/modules/imgproc/doc/miscellaneous_transformations. html
- Contours, Convex Hull and Convexity Defects http://docs. opencv. org/modules/imgproc/doc/structural_analysis_and_shape_descriptors. html
- Harish Kumar Kaura, VipulHonrao, SayaliPatil, PravishShetty, "Gesture Controlled Robot using Image Processing", IJARAI 2013, Volume 2 No 5, Page 69-77.
- 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
Keywords