Name
Title | ||
|---|---|---|
Eye-gaze systems ??? An analysis of error sources and potential accuracy in consumer electronics use cases |
Abstract | ||
|---|---|---|
Several generic CE use cases and corresponding techniques for eye gaze estimation (EGE) are reviewed. The optimal approaches for each use case are determined from a review of recent literature. In addition, the most probable error sources for EGE are determined and the impact of these error sources is quantified. A discussion and analysis of the research outcome is given and future work outlined. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICCE.2016.7430628 | ICCE |
Keywords | Field | DocType |
eye gaze estimation methods,eye-trackers,gaze estimation error sources,smartphones | Computer vision,Use case,Computer graphics (images),Computer science,Electronics,Eye tracking,Artificial intelligence,Probable error,Image resolution | Conference |
ISBN | Citations | PageRank |
978-1-4673-8363-9 | 1 | 0.34 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Kar | 1 | 1 | 0.34 |
| S. Bazrafkan | 2 | 58 | 5.44 |
| C. C. Ostache | 3 | 1 | 0.34 |
| P. M. Corcoran | 4 | 414 | 82.56 |