def test_run(self):
'''
should be capable to analyze the synthetic saccade
'''
X = fixtures.load('synthetic')
r = saccademodel.fit(X)
self.assertEqual(len(r['source_points']), 2)
self.assertEqual(len(r['saccade_points']), 6)
self.assertEqual(len(r['target_points']), 2)
def fit(g):
'''
Parameter:
g: Gaze data as CommonV1 object
Require streams:
gazelib/gaze/left_eye_x_relative
gazelib/gaze/left_eye_y_relative
gazelib/gaze/right_eye_x_relative
gazelib/gaze/right_eye_y_relative
Raise:
InsufficientDataException: if streams are missing or they are empty.
Return::
{
'type': 'gazelib/gaze/saccade',
'start_time_relative': <int microseconds>
'end_time_relative': <int microseconds>
'mean_squared_error': <float>
}
'''
g.assert_has_streams([
'gazelib/gaze/left_eye_x_relative',
'gazelib/gaze/left_eye_y_relative',
'gazelib/gaze/right_eye_x_relative',
'gazelib/gaze/right_eye_y_relative'
])
# Timeline names
l_tl_name = g.get_stream_timeline_name('gazelib/gaze/left_eye_x_relative')
r_tl_name = g.get_stream_timeline_name('gazelib/gaze/right_eye_x_relative')
lx = g.raw['streams']['gazelib/gaze/left_eye_x_relative']['values']
ly = g.raw['streams']['gazelib/gaze/left_eye_y_relative']['values']
rx = g.raw['streams']['gazelib/gaze/right_eye_x_relative']['values']
ry = g.raw['streams']['gazelib/gaze/right_eye_y_relative']['values']
# Forward fill
try:
lx_fill = fill_gaps(lx)
ly_fill = fill_gaps(ly)
rx_fill = fill_gaps(rx)
ry_fill = fill_gaps(ry)
except ExtrapolationError:
# Only nones or empty
msg = 'Cannot find saccade from empty data.'
raise CommonV1.InsufficientDataException(msg)
# Median filter
# Required to remove non-Gaussian noise i.e. random outliers
# Saccademodel handles Gaussian noise.
lx_filt = scipy.signal.medfilt(lx_fill, 5)
ly_filt = scipy.signal.medfilt(ly_fill, 5)
rx_filt = scipy.signal.medfilt(rx_fill, 5)
ry_filt = scipy.signal.medfilt(ry_fill, 5)
# Pointlists for saccademodel
lpl = [[x, y] for x, y in zip(lx_filt, ly_filt)]
rpl = [[x, y] for x, y in zip(rx_filt, ry_filt)]
# Results
try:
lresults = saccademodel.fit(lpl)
rresults = saccademodel.fit(rpl)
except saccademodel.interpolate.InterpolationError:
msg = 'Cannot find saccade from empty data.'
raise CommonV1.InsufficientDataException(msg)
# Pick one with smallest error
lerr = lresults['mean_squared_error']
rerr = rresults['mean_squared_error']
if lerr < rerr:
results = lresults
tl_name = l_tl_name
else:
results = rresults
tl_name = r_tl_name
# Convert measured saccade end and start to times.
lensource = len(results['source_points'])
lensaccade = len(results['saccade_points'])
start_index = max(0, lensource - 1) # do not let below zero
end_index = max(0, lensource + lensaccade - 1) # do not let above length
start = g.get_relative_time_by_index(tl_name, start_index)
end = g.get_relative_time_by_index(tl_name, end_index)
return {
'type': 'gazelib/gaze/saccade',
'start_time_relative': start, # microseconds
'end_time_relative': end,
'mean_squared_error': results['mean_squared_error']
}
def extract_raw_features(pointlist):
return {
'saccade': saccademodel.fit(pointlist),
'fixation': fixationmodel.fit(pointlist)
}
def extract_raw_features(pointlist):
return {
'saccade': saccademodel.fit(pointlist),
'fixation': fixationmodel.fit(pointlist)
}
