DocumentCode
2404969
Title
EyeKeys: A Real-Time Vision Interface Based on Gaze Detection from a Low-Grade Video Camera
Author
Magee, John J. ; Scott, Matthew R. ; Waber, Benjamin N. ; Betke, Margrit
Author_Institution
Boston University, MA
fYear
2004
fDate
27-02 June 2004
Firstpage
159
Lastpage
159
Abstract
There are people that are so severely paralyzed that they only have the ability to control the muscles in their eyes. Communication is limited to the interpretation of eye movements. Currently available human-computer interface systems are often intrusive, require special hardware, or use active infrared illumination. We present a system that runs on an average PC with video input from an inexpensive USB camera. The face is tracked using multi-scale template correlation. Symmetry between left and right eyes is exploited to detect if the computer user is looking at the camera, or off to the left or right side. The detected eye direction can then be used to control applications such as spelling programs or games. We developed the game "BlockEscape" to gather quantitative results to evaluate our interface system with test subjects. We also compared our system to a mouse substitution interface.
Keywords
Application software; Cameras; Communication system control; Eyes; Face detection; Hardware; Lighting; Muscles; System testing; Universal Serial Bus;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshop, 2004. CVPRW '04. Conference on
Type
conf
DOI
10.1109/CVPR.2004.66
Filename
1384957
Link To Document