i-mouse

2. • What is i-Mouse?
• Benefits of i-Mouse
• Block Diagram of i-Mouse
• Literature Survey
• Proposed System
• Architectural design
• Conclusion
• Future Scope
• References

3. • ‘i-Mouse’ is the equivalent of the conventional
computer mouse but it is entirely controlled by
Eyes.
• The i-Mouse offers people with extreme
disabilities the opportunity to control a computer
simply by moving his or her eyes or head.

4. • Low System Requirements
• Low cost
• High compatibility
• User friendly
• Application useful for handicapped people
• Easier computer control

6. • Related concepts:
– HCI (Human Computer Interface)
– Gesture Recognition
• Literature Study:
– Face Detection
- Color Based
– Face Tracking, Extraction and Motion Detection
- Head Motion
- Command Detection
- Eyeball Motion Based

7. • Hand Free Cursor Control System
- Locating Human face and eyes
- Facial movement and eye recognition
- Calculating Line of sight for eyes
- Movement of mouse pointer using interfacing of
human biometrics and computer system

8. Two layers constitute the basic structure of i-
Mouse viz. Tracking Layer and Client layer.
• Tracking Layer
– Input: Sequence of Real Images.
– Purpose: To provide a face tracker robust
enough to be usable in visible noisy
environments.
• Client Layer
– Purpose: To provide the necessary level of
abstraction over Tracking layer.
– This subsystem makes available the GUI.

10. • The motivation behind developing i-Mouse is
that it facilitates the hands free cursor control
which reduces the dependency on the typical
mouse.
• The project aims at providing a means of cursor
control to disabled people and a new and
interactive option to the existing users.

11. • Need for the System
• Identification of product project
• Identification of project deliverables
– External deliverables
– Internal deliverables

12. • 1992 Association for Computing Machinery, Figure 1
(Hewett et al., 2004).
• The Perceptual Window: Head Motion as a new Input
Stream François Bérard CLIPS-IMAG BP 53 38041
Grenoble Cedex 9 FRANCE, seventh IFIP conference
on Human-Computer Interaction (INTERACT), p. 238-
244, 1999.
• A. Gee and R. Cipolla. Estimating gaze from a single
view of a face. In 12th IAPR International Conference
on Pattern Recognition, volume I, pages 758–760,
Jerusalem, Israel,1994.
• Hands-free navigation in VR environments by
tracking the head, Sing Bing Kang, March 1997