numFreqs=3,
numCoeffs=10,
enaStatFeats=False,
featNormMethod='stand',
kernel='rbf',
trainFraction=2 / 3,
waveletLvl1=True,
randomSortTT=False,
classSortTT=True,
corrPeaks=2,
enaRawFeats=True)
a.setWindowFunction(functionName='tukey', alpha=0.9)
# a.plotWindowFunction()
a.selectSensorSubset(selectedSensors=[False, True, True], sensorType='bno')
a.selectSensorSubset(selectedSensors=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
sensorType='ir')
a.addDataFiles(fileSourceName="igor.txt",
fileSourcePath="../",
startTime=3550,
stopTime=3800,
label=0,
className="not walking")
a.addDataFiles(fileSourceName="igor2.txt",
fileSourcePath="../",
startTime=300,
stopTime=500,
label=0)
a.addDataFiles(fileSourceName="ankita.txt",
numFrSensors=2,
windowWidth=150,
windowShift=150,
numFreqs=0,
numCoeffs=0,
enaStatFeats=False,
featNormMethod='none',
kernel=0,
trainFraction=2 / 3,
waveletLvl1=False,
randomSortTT=False,
classSortTT=True)
b.setWindowFunction(functionName='tukey', alpha=0.15)
# b.plotWindowFunction()
b.selectSensorSubset(selectedSensors=[False, False, False], sensorType='bno')
b.selectSensorSubset(selectedSensors=[], sensorType='fr')
b.selectSensorSubset(selectedSensors=[0, 1, 2, 4, 6, 8], sensorType='ir')
b.addDataFiles(fileSourceName="igor.txt",
fileSourcePath="../",
startTime=100,
stopTime=1500,
label=0,
className="walking")
b.addDataFiles(fileSourceName="igor2.txt",
fileSourcePath="../",
startTime=600,
stopTime=6000,
label=0)
b.addDataFiles(fileSourceName="ankita.txt",
numFreqs=1,
numCoeffs=5,
enaStatFeats=True,
featNormMethod='stand',
kernel='rbf',
trainFraction=2 / 3,
waveletLvl1=False,
randomSortTT=False,
classSortTT=True,
corrPeaks=1,
enaRawFeats=False)
a.setWindowFunction(functionName='tukey', alpha=0.3)
# a.plotWindowFunction()
a.selectSensorSubset(selectedSensors=[False, False, False], sensorType='bno')
# a.selectSensorSubset(selectedSensors=[0, 1, 2, 3], sensorType='ir')
# a.selectSensorSubset(selectedSensors=[0, 1], sensorType='fr')
a.addDataFiles(fileSourceName="igor.txt",
fileSourcePath="../",
startTime=3550,
stopTime=3800,
label=0,
className="not walking")
a.addDataFiles(fileSourceName="igor2.txt",
fileSourcePath="../",
startTime=300,
stopTime=500,
label=0)
a.addDataFiles(fileSourceName="ankita.txt",
numFrSensors=2,
windowWidth=250,
windowShift=250,
numFreqs=0,
numCoeffs=0,
enaStatFeats=False,
featNormMethod='none',
kernel=0,
trainFraction=2 / 3,
waveletLvl1=False,
randomSortTT=False,
classSortTT=True)
b.setWindowFunction(functionName='tukey', alpha=0.5)
# b.plotWindowFunction()
b.selectSensorSubset(selectedSensors=[False, False, False], sensorType='bno')
b.selectSensorSubset(selectedSensors=[], sensorType='fr')
b.selectSensorSubset(selectedSensors=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
sensorType='ir')
# b.addDataFiles(fileSourceName="igor.txt", fileSourcePath="../", startTime=100, stopTime=1500, label=0,
# className="walking")
b.addDataFiles(fileSourceName="igor2.txt",
fileSourcePath="../",
startTime=600,
stopTime=6000,
label=0)
# b.addDataFiles(fileSourceName="ankita.txt", fileSourcePath="../", startTime=200, stopTime=1900, label=1)
b.addDataFiles(fileSourceName="ankita_pos2_lrRl.txt",
fileSourcePath="../",