Robustifying eye interaction

Dan Witzner Hansen, John Paulin Hansen

Research output: Conference Article in Proceeding or Book/Report chapterBook chapterResearchpeer-review


This paper presents a gaze typing system based on consumer hardware. Eye tracking based on consumer hardware is subject to several unknown factors. We propose methods using robust statistical principles to accommodate uncertainties in image data as well as in gaze estimates to improve accuracy. We have succeeded to track the gaze of people with a standard consumer camera, obtaining accuracies about 160 pixels on screen. Proper design of the typing interface, however, reduces the need for high accuracy. We have observed typing speeds in the range of 3 - 5 words per minute for untrained subjects using large on-screen buttons and a new noise tolerant dwell-time principle
Translated title of the contributionRobustifying eye interaction
Original languageEnglish
Title of host publicationRobustifying eye interaction
Publication date2006
ISBN (Print)0769526462
Publication statusPublished - 2006


  • appearence
  • gaze tracking
  • particle
  • Folder - Computer
  • cascade
  • boost classifier
  • iris detection
  • particle filtering
  • eyes tracking

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