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", fileSourcePath="../", startTime=0, stopTime=150, label=0) a.addDataFiles(fileSourceName="markusSchnell.txt", fileSourcePath="../", startTime=4100,
# a.selectSensorSubset(selectedSensors=[0, 2, 4, 6, 8], sensorType='ir') # a.selectSensorSubset(selectedSensors=[], 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", fileSourcePath="../", startTime=0, stopTime=150, label=0) # a.addDataFiles(fileSourceName="markusSchnell.txt", fileSourcePath="../", startTime=4100, stopTime=4300, label=0) # a.addDataFiles(fileSourceName="stefan.txt", fileSourcePath="../", startTime=7600, stopTime=8600, label=0) # a.addDataFiles(fileSourceName="stefan.txt", fileSourcePath="../", startTime=0, stopTime=300, label=0) # a.addDataFiles(fileSourceName="ben.txt", fileSourcePath="../", startTime=0, stopTime=1000, label=0) # a.addDataFiles(fileSourceName="ben.txt", fileSourcePath="../", startTime=7100, stopTime=8000, label=0) # a.addDataFiles(fileSourceName="chris1.txt", fileSourcePath="../", startTime=5200, stopTime=6000, label=0) a.addDataFiles(fileSourceName="novcc.txt", fileSourcePath="../", startTime=0, stopTime=10000, label=0) a.addDataFiles(fileSourceName="nowalk.txt", fileSourcePath="../", startTime=0, stopTime=10000, label=0) a.addDataFiles(fileSourceName="nowalk2.txt", fileSourcePath="../", startTime=0, stopTime=10000, label=0) a.addDataFiles(fileSourceName="nowalk3.txt", fileSourcePath="../", startTime=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", fileSourcePath="../", startTime=200, stopTime=1900, label=0) b.addDataFiles(fileSourceName="ankita_pos2_lrRl.txt", fileSourcePath="../",
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="../", startTime=150, stopTime=2500, label=1) b.addDataFiles(fileSourceName="markus.txt", fileSourcePath="../", startTime=500, stopTime=3300, label=2)