Fixation identification: The optimum threshold for a dispersion algorithm
نویسندگان
چکیده
منابع مشابه
Fixation identification: the optimum threshold for a dispersion algorithm.
It is hypothesized that the number, position, size, and duration of fixations are functions of the metric used for dispersion in a dispersion-based fixation detection algorithm, as well as of the threshold value. The sensitivity of the I-DT algorithm for the various independent variables was determined through the analysis of gaze data from chess players during a memory recall experiment. A pro...
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Eye tracking is a tool in scientific fields addressing the study of human vision and perception. Eye movement analysis produces indications for the understanding of human vision. The human eyes make successive movements during the observation of a visual scene or display. A fixation occurs at the moment when the eyes remain relatively stationary in a position (Poole & Ball, 2005). This moment i...
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Information hidden in the eye movement signal can be a valuable source of knowledge about a human mind. This information is commonly used in multiple fields of interests like psychology, medicine, business, advertising or even software developing. The proper analysis of the eye movement signal requires its elements to be extracted. The most important ones are fixations moments when eyes are alm...
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This paper modifies the DBSCAN algorithm to identify fixations and saccades. This method combines advantages from dispersionbased algorithms, such as resilience to noise and intuitive fixational structure, and from velocity-based algorithms, such as the ability to deal appropriately with smooth pursuit (SP) movements.
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ژورنال
عنوان ژورنال: Attention, Perception, & Psychophysics
سال: 2009
ISSN: 1943-3921,1943-393X
DOI: 10.3758/app.71.4.881