Eye-controlled human/computer interface using the line-of-sight and the international blink
Computers and Industrial Engineering - Special issue: IE in Korea
An evaluation of an eye tracker as a device for computer input2
CHI '87 Proceedings of the SIGCHI/GI Conference on Human Factors in Computing Systems and Graphics Interface
A real-time assistive computer interface for users with motor disabilities
ACM SIGCAPH Computers and the Physically Handicapped
On Building Intelligence into EagleEyes
Assistive Technology and Artificial Intelligence, Applications in Robotics, User Interfaces and Natural Language Processing
Gazing and frowning as a new human--computer interaction technique
ACM Transactions on Applied Perception (TAP)
openEyes: a low-cost head-mounted eye-tracking solution
Proceedings of the 2006 symposium on Eye tracking research & applications
Limbus/pupil switching for wearable eye tracking under variable lighting conditions
Proceedings of the 2008 symposium on Eye tracking research & applications
Low-cost gaze pointing and EMG clicking
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Head-mounted eye-tracking of infants' natural interactions: a new method
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
A depth compensation method for cross-ratio based eye tracking
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Gazing and Frowning to Computers Can Be Enjoyable
KSE '11 Proceedings of the 2011 Third International Conference on Knowledge and Systems Engineering
IEEE Transactions on Information Technology in Biomedicine
Text entry by gazing and smiling
Advances in Human-Computer Interaction
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The effect of facial behaviour on gaze tracking accuracy was studied while using a prototype system that integrated head-mounted, video-based gaze tracking and a capacitive facial movement detection for respective pointing and selecting objects in a simple graphical user interface. Experiments were carried out to determine how voluntary smiling movements that were used to indicate clicks affect the accuracy of gaze tracking due to the combination of user eye movement behaviour and the operation of gaze tracking algorithms. The results showed no observable degradation of the gaze tracking accuracy when using voluntary smiling for object selections.