Name
Abstract | ||
|---|---|---|
In the time of affordable and comfortable video-based eye tracking, the need for analysis software becomes more and more important. We introduce Eyetrace, a new software developed for the analysis of eye-tracking data during static image viewing. The aim of the software is to provide a platform for eye-tracking data analysis which works with different eye trackers, offering thus the possibility to compare results beyond the specific characteristics of the hardware devices. Furthermore, by integrating various state-of-the-art and new developed algorithms for analysis and visualization of eye-tracking data, the influence of different analysis steps and parameter choices on typical eye-tracking measures is totally transparent to the user. Eyetrace integrates several algorithms to identify fixations and saccades, and to cluster them. Well-established algorithms can be used side-by-side with bleeding-edge approaches with a continuous visualization. Eyetrace can be downloaded at http://www.ti.uni-tuebingen.de/Eyetrace.1751.0.html and we encourage its use for exploratory data analysis and education. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-27707-3_28 | BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, BIOSTEC 2015 |
Field | DocType | Volume |
BitTorrent tracker,Fixation (psychology),Visualization,Computer science,Human–computer interaction,Eye tracking,Software,Eye movement,Artificial intelligence,Exploratory data analysis,Machine learning,Mixture model | Conference | 574 |
ISSN | Citations | PageRank |
1865-0929 | 7 | 0.50 |
References | Authors | |
4 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas C. Kübler | 1 | 124 | 12.57 |
| katrin sippel | 2 | 32 | 2.26 |
| wolfgang fuhl | 3 | 123 | 11.95 |
| guilherme schievelbein | 4 | 7 | 0.84 |
| johanna aufreiter | 5 | 7 | 0.50 |
| raphael rosenberg | 6 | 8 | 1.20 |
| Wolfgang Rosenstiel | 7 | 1462 | 212.32 |
| Enkelejda Kasneci | 8 | 202 | 33.86 |