Araştırma Makalesi
BibTex RIS Kaynak Göster

Mouse Design Using Image Processing for Disabled

Yıl 2017, Cilt: 20 Sayı: 3, 49 - 55, 30.10.2017
https://doi.org/10.17780/ksujes.346305

Öz

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. 

Kaynakça

  • 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
Yıl 2017, Cilt: 20 Sayı: 3, 49 - 55, 30.10.2017
https://doi.org/10.17780/ksujes.346305

Öz

Kaynakça

  • 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
Toplam 12 adet kaynakça vardır.

Ayrıntılar

Konular Elektrik Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Yunus Çelik

Mahmut Altun

Mahit Güneş

Yayımlanma Tarihi 30 Ekim 2017
Gönderilme Tarihi 24 Ekim 2017
Yayımlandığı Sayı Yıl 2017Cilt: 20 Sayı: 3

Kaynak Göster

APA Çelik, Y., Altun, M., & Güneş, M. (2017). Mouse Design Using Image Processing for Disabled. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 20(3), 49-55. https://doi.org/10.17780/ksujes.346305

Cited By

COLOR SEPARATION WITH COMPUTER VISION
International Journal of Engineering and Innovative Research
Hüseyin CEYLAN
https://doi.org/10.47933/ijeir.945265