A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
A Theory of Single-Viewpoint Catadioptric Image Formation
International Journal of Computer Vision
Vision in natural and virtual environments
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Eye Tracking Methodology: Theory and Practice
Eye Tracking Methodology: Theory and Practice
Epipolar Geometry of Panoramic Cameras
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Equivalence of Catadioptric Projections and Mappings of the Sphere
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Finding Location Using Omnidirectional Video On A Wearable Computing Platform
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
Mapping eye movements to cognitive processes
Mapping eye movements to cognitive processes
Ego-Motion and Omnidirectional Cameras
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Patter recognition applied to mouse pointer controlled by ocular movements
WSEAS TRANSACTIONS on SYSTEMS
Mouse pointer controlled by ocular movements
CIMMACS'08 Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
ACM Transactions on Applied Perception (TAP)
The whys, how tos, and pitfalls of user studies
ACM SIGGRAPH 2009 Courses
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Gazing at games: using eye tracking to control virtual characters
ACM SIGGRAPH 2010 Courses
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In the study of eye movements in natural tasks, where subjects are able to freely move in their environment, it is desirable to capture a video of the surroundings of the subject not limited to a small field of view as obtained by the scene camera of an eye tracker. Moreover, recovering the head movements could give additional information about the type of eye movement that was carried out, the overall gaze change in world coordinates, and insight into high-order perceptual strategies. Algorithms for the classification of eye movements in such natural tasks could also benefit form the additional head movement data.We propose to use an omnidirectional vision sensor consisting of a small CCD video camera and a hyperbolic mirror. The camera is mounted on an ASL eye tracker and records an image sequence at 60 Hz. Several algorithms for the extraction of rotational motion from this image sequence were implemented and compared in their performance against the measurements of a Fasttrack magnetic tracking system. Using data from the eye tracker together with the data obtained by the omnidirectional image sensor, a new algorithm for the classification of different types of eye movements based on a Hidden-Markov-Model was developed.