Eye Typing using Markov and Active Appearance Models

Authors:
Dan Witzner Hansen;John Paulin Hansen;Mads Niels;Mikkel B. Stegmann
Affiliations:
-;-;-;-
Venue:
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Year:
2002

Citing 0
Cited 12

Iris Tracking with Feature Free Contours

AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Gaze typing compared with input by head and hand

Proceedings of the 2004 symposium on Eye tracking research & applications
Eye tracking in the wild

Computer Vision and Image Understanding - Special issue on eye detection and tracking
A comparative usability study of two Japanese gaze typing systems

Proceedings of the 2006 symposium on Eye tracking research & applications
An improved likelihood model for eye tracking

Computer Vision and Image Understanding
Text Entry Systems: Mobility, Accessibility, Universality

Text Entry Systems: Mobility, Accessibility, Universality
Eye typing using word and letter prediction and a fixation algorithm

Proceedings of the 2008 symposium on Eye tracking research & applications
Eye tracking in the wild

Computer Vision and Image Understanding - Special issue on eye detection and tracking
Eye typing off the shelf

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Discrimination of gaze directions using low-level eye image features

Proceedings of the 1st international workshop on pervasive eye tracking & mobile eye-based interaction
Towards the automatic detection of spontaneous agreement and disagreement based on nonverbal behaviour: A survey of related cues, databases, and tools

Image and Vision Computing
Real-time eye-gaze estimation using a low-resolution webcam

Multimedia Tools and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a non-intrusive eye tracking system intendedfor the use of everyday gaze typing using web cameras. Weargue that high precision in gaze tracking is not neededfor on-screen typing due to natural language redundancy.This facilitates the use of low-cost video components foradvanced multi-modal interactions based on video trackingsystems. Robust methods are needed to track the eyesusing web cameras due to the poor image quality. A real-timetracking scheme using a mean-shift color tracker andan Active Appearance Model of the eye is proposed. It ispossible from this model to infer the state of the eye suchas eye corners and the pupil location under scale and rotationalchanges.