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="../",