Abstract
Mobile gaze-based interaction with multiple displays may occur from arbitrary positions and orientations. However, maintaining high gaze estimation accuracy in such situations remains a significant challenge. In this paper, we present GazeProjector, a system that combines (1) natural feature tracking on displays to determine the mobile eye tracker?s position relative to a display with (2) accurate point-of-gaze estimation. GazeProjector allows for seamless gaze estimation and interaction on multiple displays of arbitrary sizes independently of the user?s position and orientation to the display. In a user study with 12 participants we compare GazeProjector to established methods (here: visual on-screen markers and a state-of-the-art video-based motion capture system). We 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 for each variation. Our system represents an important step towards the vision of pervasive gaze-based interfaces.
| Original language | English |
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| Title of host publication | UIST '15 Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology |
| Number of pages | 10 |
| Publisher | Association for Computing Machinery |
| Publication date | 2015 |
| Pages | 395-404 |
| ISBN (Electronic) | 978-1-4503-3779-3 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | 28th Annual ACM Symposium on User Interface Software and Technology, UIST 2015 - Charlotte, United States Duration: 8 Nov 2015 → 11 Nov 2015 |
Conference
| Conference | 28th Annual ACM Symposium on User Interface Software and Technology, UIST 2015 |
|---|---|
| Country/Territory | United States |
| City | Charlotte |
| Period | 08/11/2015 → 11/11/2015 |
| Sponsor | ACM SIGCHI, ACM SIGGRAPH |
Keywords
- Calibration
- Eye tracking
- Gaze estimation
- Large displays
- Multi-display environments
- Natural feature tracking