Abstract
The accuracy of gaze point estimation is one of the main limiting factors in developing applications that utilize gaze input. The existing gaze point correction methods either do not support real-time interaction or imply restrictions on gazecontrolled tasks and object screen locations. We hypothesize that when gaze points can be reliably correlated with object screen locations, it is possible to gather and leverage this information for improving the accuracy of gaze pointing. We propose an algorithm that uses a growing pool of such collected correlations between gaze points and objects for real-time hidden gaze point correction. We tested this algorithm assuming that any point inside of a rectangular object has equal probability to be hit by gaze. We collected real data in a user study to simulate pointing at targets of small (80px) size. The results showed that our algorithm can significantly improve the hit rate especially in pointing at middle-sized targets. The proposed method is real-time, person- and taskindependent and is applicable for arbitrary located objects.
| Original language | English |
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| Title of host publication | Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA 2014 |
| Pages | 291-294 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2014 |
| Publication type | A4 Article in conference proceedings |
| Event | 8th Symposium on Eye Tracking Research and Applications, ETRA 2014 - Duration: 1 Jan 2014 → … |
Conference
| Conference | 8th Symposium on Eye Tracking Research and Applications, ETRA 2014 |
|---|---|
| Period | 1/01/14 → … |
Keywords
- Accuracy correction
- Algorithms
- Cumulative distribution function
- Eye tracking
- Gaze point
- Pointing
Publication forum classification
- Publication forum level 1