VIG-Track Dataset

Citation Author(s):
Shahed
Sabab
Islamic University of Technology (IUT)
Mohammad
Kabir
Islamic University of Technology (IUT)
Sayed
Hussain
Islamic University of Technology (IUT)
Hasan
Mahmud
Islamic University of Technology (IUT)
Husne
Rubaiyeat
National University
Kamrul
Hasan
Islamic University of Technology (IUT)
Submitted by:
Ridwan Kabir
Last updated:
Tue, 11/23/2021 - 04:27
DOI:
10.21227/rp3f-f891
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Abstract 

Human intention is an internal, mental characterization for acquiring desired information. Frominteractive interfaces, containing either textual or graphical information, intention to perceive desiredinformation is subjective and strongly connected with eye gaze. In this work, we determine such intention byanalyzing real-time eye gaze data with a low-cost regular webcam. We extracted unique features (e.g.,Fixation Count, Eye Movement Ratio) from the eye gaze data of 31 participants to generate the datasetcontaining 124 samples of visual intention for perceiving textual or graphical information, labeled as eitherTEXT or IMAGE, having 48.39% and 51.61% distribution, respectively. Using this dataset, we analyzed 5classifiers, including Support Vector Machine (SVM) (Accuracy: 90.13%).

Instructions: 

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1   FEATURES:

 

      i.   MAX_FC_R: Maximum (MAX) Fixation Count (FC) of the Right (R) eye.

 

     ii.   MAX_FC_L: Maximum (MAX) Fixation Count (FC) of the Left (L) eye.

 

     iii.   MIN_FC_R: Minimum (MIN) Fixation Count (FC) of the Right (R) eye.

 

    iv.   MIN_FC_L: Minimum (MIN) Fixation Count (FC) of the Left (L) eye.

 

     v.   AVG_FC_R: Average (AVG) Fixation Count (FC) of the Right (R) eye.

 

    vi.   AVG_FC_L: Average (AVG) Fixation Count (FC) of the Left (L) eye.

 

   vii.   MR_R: Ratio of Horizontal vs Vertical Movement counts of the Right (R) eye.

 

   viii.   MR_L: Ratio of Horizontal vs Vertical Movement counts of the Left (R) eye.

 

 

 

2   Label:

 

      I.   T: indicates that the generated feature vector is determining visual intention as textual.

 

     II.   I: indicates that the generated feature vector is determining visual intention as graphical.