List of Journals    /    Call For Papers    /    Subscriptions    /    Login
 
 
 
 
 SEARCH
By Author By Title
 
 
ABOUT CSC
 About CSC Journals
 CSC Journals Objectives
 List of Journals
 CALL FOR PAPERS
 Call For Papers CFP
 Special Issue CFP
AUTHOR GUIDELINES
 Submission Guidelines
 Peer Review Process
 Helpful Hints For Getting Published
 Plagiarism Policies
 Abstracting & Indexing
 Open Access Policy
 Submit Manuscript
 FOR REVIEWERS
 Reviewer Guidelines
 FOR EDITORIAL
 Editor Guidelines
 Join Us As Editor
 Launch Special Issue
 Suggest New Journal
 CSC LIBRARY
 Browse CSC Library
 Open Access Policy
  SERVICES
 Conference Partnership Program (CPP)
 Abstracting & Indexing
 SUBSCRIPTIONS
 Subscriptions
 Discounted Packages
 Archival Subscriptions
 How to Subscribe
 Librarians
 Subscriptions Agents
 Order Form
 DOWNLOADS
 
 
 
 
Camera as Mouse and Keyboard for Handicap Person with Troubleshooting Ability, Recovery, and Complete Mouse Events
Full text
 PDF(186.1KB)
Source 
International Journal of Human Computer Interaction (IJHCI)
Table of Contents
Download Complete Issue    PDF(1.83MB)
Volume:  1    Issue:  3
Pages:  NULL
Publication Date:   December 2010
ISSN (Online): 2180-1347
Pages 
46 - 56
Author(s)  
Kohei Arai - Japan
 
Published Date   
20-12-2010 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Camera mouse, blinking, mouse events, keyboard shortcuts, troubleshooting, neck fatigue 
 
 
This Manuscript is indexed in the following databases/websites:-
1. refSeek
2. Docstoc
3. PDFCAST
 
 
Camera mouse has been widely used for handicap person to interact with computer. The utmost important of the use of camera mouse is must be able to replace all roles of typical mouse and keyboard. It must be able to provide all mouse click events and keyboard functions (include all shortcut keys) when it is used by handicap person. Also, the use of camera mouse must allow users troubleshooting by themselves. Moreover, it must be able to eliminate neck fatigue effect when it is used during long period. In this paper, we propose camera mouse system with timer as left click event and blinking as right click event. Also, we modify original screen keyboard layout by add two additional buttons (button “drag/ drop” is used to do drag and drop of mouse events and another button is used to call task manager (for troubleshooting)) and change behavior of CTRL, ALT, SHIFT, and CAPS LOCK keys in order to provide shortcut keys of keyboard. Also, we develop recovery method which allows users go from camera and then come back again in order to eliminate neck fatigue effect. The experiments which involve several users have been done in our laboratory. The results show that the use of our camera mouse able to allow users do typing, left and right click events, drag and drop events, and troubleshooting without hand. By implement this system, handicap person can use computer more comfortable and reduce the dryness of eyes. 
 
 
 
1 Zhu Hao, Qianwei Lei, "Vision-Based Interface: Using Face and Eye Blinking Tracking with Camera," iita, vol. 1, pp.306-310, 2008 Second International Symposium on Intelligent Information Technology Application, 2008.
2 John J. Magee, Matthew R. Scott, Benjamin N. Waber, Margrit Betke, "EyeKeys: A RealTime Vision Interface Based on Gaze Detection from a Low-Grade Video Camera," cvprw vol. 10, pp.159, 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 10, 2004.
3 ChangZheng Li, Chung-Kyue Kim, Jong-Seung Park, "The Indirect Keyboard Control System by Using the Gaze Tracing Based on Haar Classifier in OpenCV," ifita, vol. 2, pp.362-366, 2009 International Forum on Information Technology and Applications, 2009.
4 Yun Fu, Thomas S. Huang, "hMouse: Head Tracking Driven Virtual Computer Mouse," wacv, pp.30, Eighth IEEE Workshop on Applications of Computer Vision (WACV'07), 2007
5 Hailing Zhou, Lijun Xie, Xuliang Fang, "Visual Mouse: SIFT Detection and PCA Recognition," cisw, pp.263-266, 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007), 2007.
6 Jilin Tu, Thomas Huang, Hai Tao, "Face as Mouse Through Visual Face Tracking," crv, pp.339-346, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005.
7 M.E. Erdem, I.A. Erdem, V. Atalay, A.E. Cetin, "Computer vision based unistroke keyboard system and mouse for the handicapped," icme, vol. 2, pp.765-768, 2003 International Conference on Multimedia and Expo - Volume 2 (ICME '03), 2003
8 Gary Bradski, Andrian Kaebler: ”Learning Computer Vision with the OpenCV Library”, O’REILLY, 341-348, (2008).
9 National Institute of Neurological Disorders and Stroke, http://www.ninds.nih.gov/disorders/ sci/detail_sci.htm
10 Christopher & Dana Reeve Foundation, http://www.christopherreeve.org
 
 
 
 
 
 
 
 
Kohei Arai : Colleagues
Ronny Mardiyanto : Colleagues  
 
 
 
  Untitled Document
 
Copyrights (c) 2012 Computer Science Journals. All rights reserved.
Best viewed at 1152 x 864 resolution. Microsoft Internet Explorer.
 
  
 
Copyrights & Usage: Articles published by CSC Journals are Open Access. Permission to copy and distribute any other content, images, animation and other parts of this website is prohibited. CSC Journals has the rights to take action against individual/group if they are found victim of copying these parts of the website.