Title
A Human–Computer Interface Using Symmetry Between Eyes to Detect Gaze Direction
Abstract
In the cases of paralysis so severe that a person's ability to control movement is limited to the muscles around the eyes, eye movements or blinks are the only way for the person to communicate. Interfaces that assist in such communication are often intrusive, require special hardware, or rely on active infrared illumination. A nonintrusive communication interface system called EyeKeys was therefore developed, which runs on a consumer-grade computer with video input from an inexpensive Universal Serial Bus camera and works without special lighting. The system detects and tracks the person's face using multiscale template correlation. The symmetry between left and right eyes is exploited to detect if the person is looking at the camera or to the left or right side. The detected eye direction can then be used to control applications such as spelling programs or games. The game ldquoBlockEscaperdquo was developed to evaluate the performance of EyeKeys and compare it to a mouse substitution interface. Experiments with EyeKeys have shown that it is an easily used computer input and control device for able-bodied people and has the potential to become a practical tool for people with severe paralysis.
Year
DOI
Venue
2008
10.1109/TSMCA.2008.2003466
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions
Keywords
Field
DocType
eye,handicapped aids,human computer interaction,interactive devices,user interfaces,BlockEscape,EyeKeys,detect gaze direction,eye movements,eyes symmetry,human-computer interface,multiscale template correlation,nonintrusive communication interface system,Assistive technology,disabled computer users,face detection,face tracking,gaze estimation,video-based human–computer interfaces,webcams
Serial communication,Computer vision,Gaze,Computer science,Human–computer interaction,Eye movement,Artificial intelligence,Face detection,User interface,Communication interface,Facial motion capture
Journal
Volume
Issue
ISSN
38
6
1083-4427
Citations 
PageRank 
References 
22
1.29
43
Authors
4
Name
Order
Citations
PageRank
John J. Magee19712.08
Betke, M.2221.29
James Gips331325.95
Scott, M.R.4221.29