| |
| Principal
Investigators: |
| Kristen
Grauman |
| Margrit
Betke, Image and Video Computing, Boston University |
| James
Gips, EagleEyes, Boston College |
| Gary
Bradski, Visual Interactivity Group, Intel Corporation |
| |
| Abstract: |
| A method
for a real-time vision system that automatically detects a
user's blinks and accurately measures their durations is introduced.
The system is intended to provide an alternate input modality
to allow people with severe disabilities to access a computer.
Voluntary long blinks trigger mouse clicks, while involuntary
short blinks are ignored. The system enables communication
using "blink patterns:" sequences of long and short blinks
which are interpreted as semiotic messages. The location
of the eyes is determined automatically through the motion
of the user's initial blinks. Subsequently, the eye
is tracked by correlation across time, and appearance changes
are automatically analyzed in order to classify the eye as
either open or closed at each frame. No manual initialization,
special lighting, or prior face detection is required.
The system has been tested with interactive games and a spelling
program. Results demonstrate overall detection accuracy
of 95.6% and an average rate of 28 frames per second. |
| |
| Publications: |
| CVPR
2001 Paper (5.03MB)
|
| |
| Demos: |
| Demo
1 : Shows long / short blinks and reinitialization of tracker
|
| Demo
2 : Shows user with glasses
|
| Demo
3 : Includes some quick head motion
|
| Demo
4 : Two heads compete for tracker
|
| Demo
5 : Includes some background motion distractions |
