def menuButton5(self, control):
exampleHead = Head()
exampleHeadModel = HeadModel(exampleHead)
exampleHead.setSamplingFrequency(256)
exampleHead.addRegistrationSite([0, 0, 0])
exampleExperiment = Experiment(exampleHead.getSamplingFrequency(), 100.0)
# Randomizing stimuli times
stimuli = []
for i in range(100):
stimuli.append( i + 0.2 +random()/2 )
exampleExperiment.setStimulusTimes([stimuli])
exampleStimulus = Stimulus('Stim', exampleHead)
exampleStimulus.setStimulusTimes(exampleExperiment.getStimulusTimes()[0])
# Creating many generators with random frequencies in the range 2-20 Hz and
# random phases. Connecting some of them to the stimulus generator
exampleGenerators = []
exampleConnections = []
for i in range(100):
randomFrequency = 2.0 + random() * 18
randomPhaseShift = random()
exampleGenerators.append(GeneratorSine('Gen', exampleHead, frequency=randomFrequency, phaseShift=randomPhaseShift))
if(random() > 0.75):
exampleConnections.append(Connection('Con', exampleHead, exampleStimulus, exampleGenerators[i]))
exampleExperiment.setRecording(exampleHead.runSimulation(exampleExperiment.getDuration()))
exampleExperiment.plotRecording()
def menuButton2(self, control):
exampleHead = Head()
exampleHeadModel = HeadModel(exampleHead)
exampleHead.setSamplingFrequency(10)
exampleHead.addRegistrationSite([0, 0, 0])
exampleStimulus = Stimulus('Stim', exampleHead)
exampleStimulus.setStimulusTimes([0.3, 0.6])
exampleGenerator = GeneratorNumberIncrementing('Gen', exampleHead)
exampleConnection = Connection('Con', exampleHead, exampleStimulus, exampleGenerator)
exampleExperiment = Experiment(exampleHead.getSamplingFrequency(), 1.0, exampleHead.runSimulation( 1.0 ))
output = str(exampleExperiment.getRecording())
self.log.SetValue(output)
self.logWindow.Show()
def menuButton4(self, control):
exampleHead = Head()
exampleHeadModel = HeadModel(exampleHead)
exampleHead.setSamplingFrequency(128)
exampleHead.addRegistrationSite([0, 0, 0])
exampleExperiment = Experiment(exampleHead.getSamplingFrequency(), 10.0)
exampleExperiment.setStimulusTimes([[0.3, 1.75, 2.16, 3.87, 4.31, 5.183, 6.34, 7.13]])
exampleStimulus = Stimulus('Stim', exampleHead)
exampleStimulus.setStimulusTimes(exampleExperiment.getStimulusTimes()[0])
exampleGenerator = GeneratorSine('Gen', exampleHead)
exampleConnection = Connection('Con', exampleHead, exampleStimulus, exampleGenerator)
exampleExperiment.setRecording(exampleHead.runSimulation(exampleExperiment.getDuration()))
exampleExperiment.plotRecording()
def create_stim_list(self):
snack_names = self.df.index.values
print(snack_names)
stimlist = []
for idx, stim in enumerate(snack_names):
show = self.df['show'][idx]
cued = self.df['cued'][idx]
A = Stimulus(name=stim, show=show, cued=cued)
stimlist.append(A)
return stimlist
def menuButton3(self, control):
exampleHead = Head()
exampleHeadModel = HeadModel(exampleHead)
exampleHead.setSamplingFrequency(10)
exampleHead.addRegistrationSite([0, 0, 0])
exampleExperiment = Experiment(exampleHead.getSamplingFrequency(), 1.0)
exampleExperiment.setStimulusTimes([[0.3, 0.6], [0.5]])
exampleStimulus1 = Stimulus('Stim1', exampleHead)
exampleStimulus2 = Stimulus('Stim2', exampleHead)
exampleStimulus1.setStimulusTimes(exampleExperiment.getStimulusTimes()[0])
exampleStimulus2.setStimulusTimes(exampleExperiment.getStimulusTimes()[1])
exampleGenerator1 = GeneratorNumberIncrementing('Gen1', exampleHead)
exampleGenerator2 = GeneratorNumberIncrementing('Gen2', exampleHead)
exampleConnection1 = Connection('Con1', exampleHead, exampleStimulus1, exampleGenerator1)
exampleConnection2 = Connection('Con2', exampleHead, exampleStimulus2, exampleGenerator2)
exampleExperiment.setRecording(exampleHead.runSimulation(exampleExperiment.getDuration()))
output = str(exampleExperiment.getRecording())
self.log.SetValue(output)
self.logWindow.Show()
def runGenerator(self, time):
print("[runGenerator] " + self.name + ": Preparing the stimulus")
return Stimulus.runGenerator(self, time)
from Stimulus import Stimulus # Define length of stimulus in seconds and sampling rate in samples/second length = 0.1 fs = 44100 # Initialise Stimulus object with given length and sampling rate s = Stimulus(length, fs) # Define frequency of tone f = 1000 # Generate tone s.pure_tone(f) # Define start and stop frequency of sweep start = 0 stop = 1000 # Generate frequency sweep s.chirp(start, stop) # Generate silence s.silence() # Generate noise and silence and add them together fs = 44100 noise_length = 0.1 silence_length = 1
def testStandaloneDesign(self):
check = 0
try:
generateCompatibleFormat(exp_path=os.path.abspath(
"tests/NTU_Experiment/Data/sub_222.asc"),
device="eyelink",
stim_list_mode='NA',
start='start_trial',
stop='stop_trial',
eye='B')
generateCompatibleFormat(exp_path=os.path.abspath(
"tests/NTU_Experiment/smi_eyetracker_freeviewing.txt"),
device="smi",
stim_list_mode='NA',
start='12',
stop='99')
generateCompatibleFormat(exp_path=os.path.abspath(
"tests/NTU_Experiment/tobii_sceneviewing_eyetrack_ascii.txt"),
device="tobii",
start='MYKEYWORD')
temp_df = pd.read_csv(
os.path.abspath(
"tests/NTU_Experiment/smi_eyetracker_freeviewing.csv"))
del (temp_df)
df = pd.read_csv(
os.path.abspath("tests/NTU_Experiment/Data/sub_222.csv"))
check = 1
finally:
self.assertEqual(check, 1)
check = 0
try:
sensor_dict = {
"EyeTracker": {
"Sampling_Freq": 1000,
"Display_width": 1280,
"Display_height": 1024,
"aoi_left_x": 0,
"aoi_left_y": 0,
"aoi_right_x": 1280,
"aoi_right_y": 1024
}
}
stim = Stimulus(path=os.path.abspath("tests/NTU_Experiment"),
data=df,
sensor_names=sensor_dict,
start_time=0,
end_time=6000)
check = 1
finally:
self.assertEqual(check, 1)
check = 0
try:
stim.findEyeMetaData()
features = stim.sensors["EyeTracker"].metadata
stim.findMicrosaccades(plot_ms=True)
stim.gazePlot(show_fig=False, save_fig=True)
stim.gazeHeatMap(show_fig=False, save_fig=True)
stim.visualize(show=False)
check = 1
finally:
self.assertEqual(check, 1)
