非表示:
キーワード:
-
要旨:
Mobile gaze-based interaction with multiple displays may
occur from arbitrary positions and orientations. However, maintaining
high gaze estimation accuracy still represents a significant challenge.
To address this, we present GazeProjector, a system that combines
accurate point-of-gaze estimation with natural feature tracking on
displays to determine the mobile eye tracker’s position relative to a
display. The detected eye positions are transformed onto that display
allowing for gaze-based interaction. This allows for seamless gaze
estimation and interaction on (1) multiple displays of arbitrary sizes,
(2) independently of the user’s position and orientation to the display.
In a user study with 12 participants we compared GazeProjector to
existing well- established methods such as visual on-screen markers and
a state-of-the-art motion capture system. Our results show that our
approach is robust to varying head poses, orientations, and distances to
the display, while still providing high gaze estimation accuracy across
multiple displays without re-calibration. The system represents an
important step towards the vision of pervasive gaze-based interfaces.
