eye tracking experiment output features

Comments

• Josh

  February 2017

  Hi,

  You may want to have a look on this page: http://osdoc.cogsci.nl/3.1/manual/eyetracking/pygaze/

  You have to use the pygaze components to make your eye-tracker work with OpenSesame. How your datafile will look depends on the type of eye-tracker used. By default you'd have the eye position coordinates for every timepoint, and eye-trackers such as the Eyelink also provide means to parse that raw data into fixations and saccades. Not sure about the Eyetribe though - but someone else may have a script to parse data?

  Cheers,

  Josh
• sarmad.m

  February 2017 edited February 2017

  I have used pygaze on the output eyetribe data, but I'm getting this error , could you please help.

  C:\Users\sarmad\Documents\python>"C:\Users\sarmad\Desktop\WinPython-PyGaze-0.5.1\python-2.7.3\python.exe" "analysis.py"
  C:\Users\sarmad\Documents\python\pygazeanalyser\detectors.py:203: RuntimeWarning: invalid value encountered in divide
  vel = intdist / inttime
  C:\Users\sarmad\Documents\python\pygazeanalyser\detectors.py:217: RuntimeWarning: invalid value encountered in greater
  sacstarts = numpy.where((vel[1+t0i:] > maxvel).astype(int) + (acc[t0i:] > maxacc).astype(int) >= 1)[0]
  C:\Users\sarmad\Documents\python\pygazeanalyser\detectors.py:229: RuntimeWarning: invalid value encountered in less
  sacends = numpy.where((vel[1+t1i:] < maxvel).astype(int) + (acc[t1i:] < maxacc).astype(int) == 2)[0]

        import os
  
    from constants import *
  
  from pygazeanalyser.eyetribereader import read_eyetribe
  from pygazeanalyser import gazeplotter
  from pygazeanalyser import detectors
  
  from matplotlib.pyplot import close
  
  # Construct the name of the output directory
  OUTPUTDIR = os.path.join(DIR, 'output')
  
  # Check if the output directory exists yet
  if not os.path.isdir(OUTPUTDIR):
   # If the output directory does not exist yet, make it
   os.mkdir(OUTPUTDIR)
  
  # Read the data
  data = read_eyetribe('default.tsv', 'image_onset', \
      stop='image_offset')
  
  # Get the amount of trials in this dataset
  ntrials = len(data)
  
  # Loop through all trials
  for trialnr in range(ntrials):
  
   # Get the image name
    imgname = IMGNAMES[trialnr]
  
      # Get the path to the image
    imgpath = os.path.join(IMGDIR, imgname)
  
   # Get the fixations in this trial
    fixations = data[trialnr]['events']['Efix']
  
    # Delete the first fixation
    fixations.pop(0)
  
   # Get the raw x and y gaze coordinates
   x = data[trialnr]['x']
   y = data[trialnr]['y']
   time = data[trialnr]['time']
  
     # Plot the fixations
      savename = 'fixations_%s' % imgname
      savepath = os.path.join(OUTPUTDIR, savename)
    fig = gazeplotter.draw_fixations(fixations, DISPSIZE, \
      durationsize=True, durationcolour=False, \
      imagefile=imgpath, savefilename=savepath)
   close(fig)
  
  
  
  # Plot a heatmap
      savename = 'heatmap_%s' % imgname
   savepath = os.path.join(OUTPUTDIR, savename)
   fig = gazeplotter.draw_heatmap(fixations, DISPSIZE, \
     imagefile=imgpath, savefilename=savepath)
    close(fig)