Name
Abstract | ||
|---|---|---|
We propose a combined analytical/statistical method to determine an efficient threshold on the dispersion of estimates of the point of gaze POG to indicate a user fixation. The experimental data for this study was obtained with an EyeTech TM3 eye gaze tracker EGT. The experimental protocol to make the user fixate on pre-determined visual targets was implemented using the C language and OpenCV. Subjects first used the system in a training mode, from which an individualized dispersion threshold was obtained. Our approach was verified by applying the individualized threshold to POG data from a second run, in testing mode, with encouraging results. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-39516-6_9 | HCI |
Field | DocType | Citations |
Point of gaze,Computer vision,Experimental data,Computer science,Eye tracking,Artificial intelligence | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sudarat Tangnimitchok | 1 | 1 | 3.08 |
| Nonnarit O.-Larnnithipong | 2 | 1 | 3.41 |
| Armando Barreto | 3 | 79 | 10.17 |
| Francisco R. Ortega | 4 | 32 | 9.27 |
| Naphtali David Rishe | 5 | 3 | 3.43 |