Robustifying eye interaction

Bidragets oversatte titel: Robustifying eye interaction

Dan Witzner Hansen, John Paulin Hansen

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelBidrag til bog/antologiForskningpeer 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
Bidragets oversatte titelRobustifying eye interaction
TitelRobustifying eye interaction
ISBN (Trykt)0769526462
StatusUdgivet - 2006