By the availability of today&rsquo / s inexpensive powerful hardware, it becomes possible
to design real-time computer vision systems even in personal computers. Therefore,
computer vision becomes a powerful tool for human-computer interaction
(HCI). In this study, three different vision-based HCI systems are described. As
in all vision-based HCI systems, the developed systems requires a camera (a webcam)
to monitor the actions of the users. For pointing tasks, laser pointer is
used as the pointing device.
The first system is Vision-Based Keyboard System. In this system, the keyboard
is a passive device. Therefore, it can be made up of any material having
a keyboard layout image. The web camera is placed to see the entire keyboard
image and captures the movement of the laser beam. The user enters a character
to the computer by covering the corresponding character region in the keyboard
layout image with the laser pointer. Additionally, this keyboard system can be
easily adapted for disabled people who have little or no control of their hands
to use a keyboard. The disabled user can attach a laser pointer to an eyeglass and control the beam of the laser pointer by only moving his/her head. For the
same class of disabled people, Vision-Based Mouse System is also developed. By
using the same setup used in the previous keyboard system, this system provides
the users to control mouse cursor and actions. The last system is Vision-Based
Continuous Graffiti1-like Text Entry System. The user sketches characters in a
GraffitiTM-like alphabet in a continuous manner on a flat surface using a laser
pointer. The beam of the laser pointer is tracked during the image sequences
captured by a camera and the corresponding written word is recognized from the
extracted trace of the laser beam.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/1128776/index.pdf |
| Date | 01 January 2003 |
| Creators | Erdem, Ibrahim Aykut |
| Contributors | Atalay, Volkan |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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