"We're now going to test the eyetracker module. Press Space to start!")
disp.fill(scr)
t1 = disp.show()
log.write(["EyeTracker", t1])
kb.get_key()
# tracker.calibrate
tracker.calibrate()
# tracker.sample()
scr.clear()
scr.draw_text("The dot should follow your eye movements")
disp.fill(scr)
disp.show()
tracker.log("now testing sample function")
tracker.status_msg("now testing sample function")
tracker.start_recording()
key = None
while not key == 'space':
# get new key
key, presstime = kb.get_key(timeout=1)
# new states
gazepos = tracker.sample()
# draw to screen
scr.clear()
scr.draw_text("The dot should follow your eye movements")
scr.draw_fixation(fixtype='dot', pos=gazepos, pw=3, diameter=15)
disp.fill(scr)
disp.show()
tracker.stop_recording()
scr.clear()
disp.fill(textscr)
disp.show()
kb.get_key(keylist=None, timeout=None, flush=True)
# Log the start of the trial.
log.write([time.strftime("%y-%m-%d"), time.strftime("%H-%M-%S"), \
trialnr, vidname, timer.get_time()])
# Start eye tracking.
tracker.start_recording()
timer.pause(5)
tracker.log("TRIALSTART")
# Show a status message on the EyeLink.
if TRACKERTYPE == 'eyelink':
tracker.status_msg("Trial %d/%d (%s)" %
(trialnr, len(VIDEOS), vidname))
# Log trial specifics to gaze data file.
timer.pause(5)
tracker.log("TRIALNR %d; VIDNAME %s; EXPTIME %d; PCTIME %s" % \
(trialnr, vidname, timer.get_time(), \
datetime.datetime.now().strftime('%Y-%m-%d_%H:%M:%S.%f')))
# Loop until the video ends.
for framenr in range(nframes):
# Get a timestamp for the start of the loading time.
loadstart = timer.get_time()
# Load the next frame, and convert it to a format that PsychoPy's
# ImageStim can actually recognise.
log.write(["trialnr", "trialstart", "trialend", "duration", "image"])
# run trials
tracker.calibrate()
for trialnr in range(0, len(IMAGES)):
# blank display
disp.fill()
disp.show()
libtime.pause(1000)
# prepare stimulus
scr.clear()
scr.draw_image(IMAGES[trialnr])
# start recording eye movements
tracker.drift_correction()
tracker.start_recording()
tracker.status_msg("trial %d" % trialnr)
tracker.log("start trial %d" % trialnr)
# present stimulus
response = None
trialstart = libtime.get_time()
while not response:
gazepos = tracker.sample()
frl.update(disp, scr, gazepos)
response, presstime = kb.get_key(timeout=1)
# stop tracking and process input
tracker.stop_recording()
tracker.log("stop trial %d" % trialnr)
log.write([
trialnr, trialstart, presstime, presstime - trialstart, IMAGES[trialnr]
])
t0 = fmri_clock.reset()
else:
event.waitKeys(keyList=['space'])
timer.expstart()
fmri_clock.reset()
t0 = fmri_clock.reset()
if withTracker:
tracker.start_recording()
tracker.log("start trial %d" % 1)
# In[Tracker - Start]:
if withTracker:
tracker.start_recording()
tracker.status_msg("Pulse Received; Recording...")
#timer.pause(waitTime) why the pause here?
# In[Initiate Trial Stimuli]:
#draw fixate point, will not change throughout experiment
fixate.size = 5
scr.clear()
scr.screen.append(fixate)
disp.fill(screen=scr)
disp.show()
#wait half a second before starting
while fmri_clock.getTime() < 0.5:
pass
image_size[0]) / 2 # centre minus half of the image width
y = (DISPSIZE[1] -
image_size[1]) / 2 # centre minus half of the image height
aoi = AOI('rectangle', (x, y), image_size)
disp.fill(scr)
# perform a drift check
tracker.drift_correction()
# RUN TRIAL
# start tracking
key = None
tracker.start_recording()
tracker.log("TRIALSTART %d" % trialnr)
tracker.log("IMAGENAME %s" % images[trialnr])
tracker.status_msg("trial %d/%d" % (trialnr + 1, ntrials))
# present image
disp.fill(scr)
t0 = disp.show()
tracker.log("image online at %d" % t0)
is_found = 1
# wait for a bit for participant viewing image
while key != 'space':
# check for key input
key, presstime = kb.get_key(keylist=['space'], timeout=1)
gaze_pos = tracker.sample()
gaze_time = timer.get_time() - t0
if aoi.contains(gaze_pos):
print(gaze_pos)
print(pressed)
if sum(pressed) > 0:
event.clearEvents(eventType='mouse')
wait = False
print(wait)
dsp = Display(dispsize=DISPSIZE, screennr=2)
tracker = EyeTracker(dsp, trackertype='eyelink')
tracker.calibrate()
tracker.close()
dsp.close()
tracker.start_recording()
######### Trials
for r in range(rounds):
tracker.status_msg('Trial with matrix {}'.format(r))
tracker.log('TRIALSTART')
disp.fill(fixscr)
disp.show()
timer.pause(1000)
tracker.log('fixation_onset')
gamescreen.clear()
ycor = cy - (side / 2)
count = 0
for i in range(p2):
xcor = cx - (side / 2)
gamescreen.draw_text("You",
pos=(cx, cy - (side / 2) - ((yax *
(1 - margin)) / 6)),
scr.draw_text("We're now going to test the eyetracker module. Press Space to start!")
disp.fill(scr)
t1 = disp.show()
log.write(["EyeTracker", t1])
kb.get_key()
# tracker.calibrate
tracker.calibrate()
# tracker.sample()
scr.clear()
scr.draw_text("The dot should follow your eye movements")
disp.fill(scr)
disp.show()
tracker.log("now testing sample function")
tracker.status_msg("now testing sample function")
tracker.start_recording()
key = None
while not key == 'space':
# get new key
key, presstime = kb.get_key(timeout=1)
# new states
gazepos = tracker.sample()
# draw to screen
scr.clear()
scr.draw_text("The dot should follow your eye movements")
scr.draw_fixation(fixtype='dot', pos=gazepos, pw=3, diameter=15)
disp.fill(scr)
disp.show()
tracker.stop_recording()
scr.clear()
for trialnr in range(ntrials):
# PREPARE TRIAL
# draw the image
scr.clear()
scr.draw_image(os.path.join(IMGDIR,images[trialnr]))
# perform a drift check
tracker.drift_correction()
# RUN TRIAL
# start tracking
tracker.start_recording()
tracker.log("TRIALSTART %d" % trialnr)
tracker.log("IMAGENAME %s" % images[trialnr])
tracker.status_msg("trial %d/%d" % (trialnr+1, ntrials))
# present image
disp.fill(scr)
t0 = disp.show()
tracker.log("image online at %d" % t0)
# wait for a bit
timer.pause(TRIALTIME)
# reset screen
disp.fill()
t1 = disp.show()
tracker.log("image offline at %d" % t1)
# stop recording
