Abstract
This paper presents a method to control pointer with
the help of camera for a person who is not able to control the pointer with
hands. Physical problems result from brain paralysis
are the most dominant obstacles for pointer control. This paper aims to control
pointer with the help of human-computer interaction technologies instead of
hands. The proposed design is similar to common pointer control. According to
disability condition, people can choose the usage of the system because of the
adjustability of the system. One can control the pointer by wearing a colored
wristband or any item on body parts like arms, feet or any other moving part of
the body. The designed system requires software, a camera, and a table lamp.
The working principle of the system is inferring information from camera and
transforming this information to pixels to control the pointer on the screen.
In this paper, computer vision system was combined with Java class to control
the pointer. When the camera gets the first snapshot from a real-time video,
first, the software finds the location of the colored item on the screen then
moves the pointer towards to location. In this real-time system, clicking is a
problem because of the physical inabilities. In order to solve this problem, we
use another colored item on the field vision of the camera. According to the
location of the second object, the software decides about left or right clicks.
References
- Abhik Banerjee1 , Abhirup Ghosh2 , Koustuvmoni Bharadwaj3 , Hemanta Saikia4.(2014). Mouse Control using a Web Camera based on Colour Detection. International Journal of Computer Trends and Technology (IJCTT) – volume 9 number 1– Mar 2014
- Celik. Y, Altun. M, Gunes. M, Color Based Moving Object Tracking with An Active Camera Using Motion Information International Conference on Artificial Intelligence and Data Processing (IDAP17), September 16-17, Malatya, Turkey.
- H. Dee and S. Velastin. (2008). How close are we to solving the problem of automated visual surveillance? Machine Vision and Applications, 19(5-6):329-343.
- Manpreet. (2014). Color Based Object Detection Matlabgui, International Journal of Scientific & Engineering Research, Volume 5, Issue 6, June-2014 823 ISSN 2229-5518.
- Mahmoud A. Mohamed, Christoph B¨oddeker, and B¨arbel Mertsching. Real-Time Moving Objects Tracking for Mobile-Robots Using Motion Information. Safety, Security, and Rescue Robotics (SSRR), 2014 IEEE International Symposium.
- R. Lulu, Vanshri Kurhade, Neha Pande, Rohini Gaidhane , Nikita Khangar, Priya Chawhan, Ashwini Khaparde.(2015). Web Camera Based Mouse Controlling Using RGB Colours. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 4 Issue 2, February 2015.
- Theo Gevers, Arnold W.M. Smeulders. (1997). Color-based object recognition. ISIS, Faculty of WINS, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands.
- Tran Thi Trang, Cheolkeun Ha. Irregular Moving Object Detecting and Tracking Based on Color and Shape in Real-time System. 2013 IEEE.
- Vishesh Goel, Sahil Singhal, Tarun Jain, Silica Kole. (2017). Specific Color Detection in Images using RGB Modelling in MATLAB, International Journal of Computer Applications (0975 – 8887). Volume 161 – No 8.
- https://www.mathworks.com/matlabcentral/fileexchange/42943-virtual-mouse--mouse-pointer-control-using-color-detection
- https://www.mathworks.com/help/images/ref/im2bw.html
- http://kulis.kocaeli.edu.tr/pub/otomasyon_kamera_takip.pdf
Abstract
References
- Abhik Banerjee1 , Abhirup Ghosh2 , Koustuvmoni Bharadwaj3 , Hemanta Saikia4.(2014). Mouse Control using a Web Camera based on Colour Detection. International Journal of Computer Trends and Technology (IJCTT) – volume 9 number 1– Mar 2014
- Celik. Y, Altun. M, Gunes. M, Color Based Moving Object Tracking with An Active Camera Using Motion Information International Conference on Artificial Intelligence and Data Processing (IDAP17), September 16-17, Malatya, Turkey.
- H. Dee and S. Velastin. (2008). How close are we to solving the problem of automated visual surveillance? Machine Vision and Applications, 19(5-6):329-343.
- Manpreet. (2014). Color Based Object Detection Matlabgui, International Journal of Scientific & Engineering Research, Volume 5, Issue 6, June-2014 823 ISSN 2229-5518.
- Mahmoud A. Mohamed, Christoph B¨oddeker, and B¨arbel Mertsching. Real-Time Moving Objects Tracking for Mobile-Robots Using Motion Information. Safety, Security, and Rescue Robotics (SSRR), 2014 IEEE International Symposium.
- R. Lulu, Vanshri Kurhade, Neha Pande, Rohini Gaidhane , Nikita Khangar, Priya Chawhan, Ashwini Khaparde.(2015). Web Camera Based Mouse Controlling Using RGB Colours. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 4 Issue 2, February 2015.
- Theo Gevers, Arnold W.M. Smeulders. (1997). Color-based object recognition. ISIS, Faculty of WINS, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands.
- Tran Thi Trang, Cheolkeun Ha. Irregular Moving Object Detecting and Tracking Based on Color and Shape in Real-time System. 2013 IEEE.
- Vishesh Goel, Sahil Singhal, Tarun Jain, Silica Kole. (2017). Specific Color Detection in Images using RGB Modelling in MATLAB, International Journal of Computer Applications (0975 – 8887). Volume 161 – No 8.
- https://www.mathworks.com/matlabcentral/fileexchange/42943-virtual-mouse--mouse-pointer-control-using-color-detection
- https://www.mathworks.com/help/images/ref/im2bw.html
- http://kulis.kocaeli.edu.tr/pub/otomasyon_kamera_takip.pdf
Details
| Subjects | Electrical Engineering |
|---|---|
| Journal Section | Research Articles |
| Authors | |
| Publication Date | October 30, 2017 |
| Submission Date | October 24, 2017 |
| Published in Issue | Year 2017Volume: 20 Issue: 3 |