Name
Abstract | ||
|---|---|---|
Eye tracking has been used extensively in research, often for plotting the gaze location of research participants. Many of the existing methods on tracking gaze locations, however, require special equipment. This equipment can be very expensive and/or cumbersome to use, restricting the use of it to specialist labs. By producing a method of eye tracking which requires minimal equipment and set up time, eye tracking might be more widely used as a research tool, especially in exploratory areas where the outcomes of the research are not known. This paper introduces two novel eye tracking methods which use only a web cam feed as input and require no specialist equipment. The camera used in this research is a standard web cam built into a normal laptop, any current commercial web cam could be used. Experiments using the proposed method showed more accurate tracking results than some existing eye trackers. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/SMC.2013.489 | Systems, Man, and Cybernetics |
Keywords | Field | DocType |
accurate tracking result,existing eye tracker,gaze locating methods,explore new eye tracking,minimal equipment,research tool,novel eye,special equipment,current commercial web cam,eye tracking,specialist equipment,research participant | BitTorrent tracker,Computer vision,Laptop,Gaze,Computer science,Image matching,Tracking system,Eye tracking,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
1062-922X | 1 | 0.43 |
References | Authors | |
20 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Kadyrov | 1 | 1 | 0.43 |
| Hui Yu | 2 | 8 | 2.97 |
| Joe Eyles | 3 | 1 | 0.43 |
| Honghai Liu | 4 | 1974 | 178.69 |