simple and precise commercial camera based eye tracking methodology

Clicks: 203
ID: 164753
2017
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Abstract
In this paper, an eye tracking methodology is presented. It represents a commercial camera based system for detection of eye pupil and its trajectory and classification of eye movements that led to the formation of assessed eye path. Methodology was examined on 10 subjects, who performed specified series of eye movements in two recording conditions: with and without simultaneous head motions. Image segmentation was performed and coordinates of eye pupil were found for each consecutive video frame. Modified velocity threshold method for eye movement classification was performed. Classification accuracy was evaluated with two parameters: Sensitivity (S) and Positive predictive value (PP), and compared for both recording conditions. In the absence of head motions, a high accuracy result was obtained (S=96.25%; PP=100%). A less accurate result was obtained in the second case (S=87.50%; PP=88.61%). However, it was shown that proposed methodology can provide good results for commercial eye tracking regardless of the recording conditions.
Reference Key
bobi2017telforsimple Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;V. Bobić;S. Graovac
Journal surface science
Year 2017
DOI
10.5937/telfor1701049B
URL
http://journal.telfor.rs/Published/Vol9No1/Vol9No1_A9.pdf
Keywords
eye tracking velocity thresholdtelecommunication

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