Name
Abstract | ||
|---|---|---|
The analysis of an eye movement signal, which can reveal o lot of information about the way human brain works, has recently attracted the attention of many researchers. The basis for such studies is data returned by specialized devices called eye-trackers. The first step of their usage is a calibration process, allowing to reflect an eye position to a point of regard. The main research problem analyzed in this paper is to check whether and how the chosen calibration scenario influences the calibration result (calibration errors). Based on this analysis of possible scenarios, a new user-controlled calibration procedure was developed. It was checked and compared with a classic approach during pilot studies using the Eye Tribe system as an eye-tracker device. The results obtained for both methods were examined in terms of provided accuracy. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2666642.2666646 | GazeIn@ICMI |
Keywords | Field | DocType |
calibration,eye movement,human information processing | Computer vision,Calibration result,Eye movement,Eye tracking,Artificial intelligence,Point of regard,Geography,Calibration | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pawel Kasprowski | 1 | 76 | 12.99 |
| Katarzyna Harezlak | 2 | 45 | 11.59 |