
The problem of eye gaze tracking has been researched and developed for a long time. Most of them use intrusive techniques to estimate the gaze of a person. This paper presents a non-intrusive approach for eye gaze tracker in real time with a simple camera. To track the eye gaze we have to deal with three principle problems: detecting the eye, tracking the eye and detecting the gaze of the eye on the screen where a user is looking at. In this paper we introduce the methods existed to solve these problems in the simple way and achieving high detection rate.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
