Title :
Explore New Eye Tracking and Gaze Locating Methods
Author :
Kadyrov, Alexander ; Hui Yu ; Eyles, Joe ; Honghai Liu
Author_Institution :
Sch. of Creative Technol., Univ. of Portsmouth, Portsmouth, UK
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.
Keywords :
cameras; gaze tracking; image matching; camera; eye tracking method; gaze location tracking; gradient intersections; laptop; ray image method; template matching; web cam feed; Correlation; Estimation; Head; Iris; Vectors; Webcams; Eye tracking; circle detection; gaze estimation; player experience;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
DOI :
10.1109/SMC.2013.489