eye tracking experiment output features

sarmad.m

HI

I need your help please . I need to setup an experiment using oensesame and eyetribe.

my question is :

2. how can I get ( fixation count , fixation duration ) or any other features ?

Thanks

Josh

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

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)