def inputTimeFrames():
'''Allows user to choose the time frames over which they compute accelerometer features.'''
time_frames = []
print(
"Accelerometer features can be extracted over different time periods.")
cont = get_user_input(
"If you would like to enter a time period over which to compute features, enter 'y', or press enter to compute features over the entire file."
)
while cont == 'y' or cont == 'Y':
start = int(
get_user_input(
"Enter the starting hour of the time period (hour 0 is when the file starts):"
))
end = int(
get_user_input(
"Enter the ending hour of the time period (hour 0 is when the file starts; use -1 for the end of the file):"
))
start = getIndexFromTimestamp(int(start))
if end != -1:
end = getIndexFromTimestamp(int(end))
time_frames.append([start, end])
print("Great! Now computing features for the following time periods:" +
str(time_frames))
cont = get_user_input(
"To add another time period, enter 'y'. To finish, press enter.")
if len(time_frames) == 0:
time_frames = [[0, -1]] # the whole file
return time_frames
def chooseValueOrDefault(str_input, default):
if str_input == "":
return default
else:
return float(str_input)
if __name__ == "__main__":
data, filepath_confirm = getInputLoadFile()
fullOutputPath = getOutputPath()
print("")
print("Please choose settings for the peak detection algorithm. For default values press return")
thresh_str = get_user_input('\tMinimum peak amplitude (default = .02):')
thresh = chooseValueOrDefault(thresh_str,.02)
offset_str = get_user_input('\tOffset (default = 1): ')
offset = chooseValueOrDefault(offset_str,1)
start_WT_str = get_user_input('\tMax rise time (s) (default = 4): ')
start_WT = chooseValueOrDefault(start_WT_str,4)
end_WT_str = get_user_input('\tMax decay time (s) (default = 4): ')
end_WT = chooseValueOrDefault(end_WT_str,4)
settings_dict = {'threshold':thresh,
'offset':offset,
'rise time':start_WT,
'decay time':end_WT}
print("")
print("Okay, finding peaks in file "+ filepath_confirm + " using the following parameters")
# Only include x axis label on final subplot
if secondsPlot:
plt.xlabel('Time (s)')
else:
plt.xlabel('Time (min)')
# Display the plot
plt.subplots_adjust(hspace=.3)
plt.show()
return
if __name__ == "__main__":
numClassifiers = int(
get_user_input(
'Would you like 1 classifier (Binary or Multiclass) or both (enter 1 or 2): '
))
# Create list of classifiers
if numClassifiers == 1:
temp_clf = int(
get_user_input(
"Select a classifier:\n1: Binary\n2: Multiclass\n:"))
while temp_clf != 1 and temp_clf != 2:
temp_clf = get_user_input(
"Something went wrong. Enter the number 1 or 2.\n Select a classifier:\n1: Binary\n2: Multiclass):"
)
if temp_clf == 1:
print('Binary Classifier selected')
classifierList = ['Binary']
elif temp_clf == 2:
print("This script will extract features related to accelerometer data.")
data, filepath_confirm = getInputLoadFile()
output_path = getOutputPath()
time_frames = inputTimeFrames()
features, steps, motion = computeAllAccelerometerFeatures(
data, time_frames)
data["steps"] = steps
data["motion"] = motion
saveFeaturesToFile(features, time_frames, output_path)
print("")
plot_ans = get_user_input(
"Do you want to plot the detected steps? (y/n): ")
if 'y' in plot_ans:
secs_ans = get_user_input(
"Would you like the x-axis to be in seconds or minutes? (sec/min): "
)
if 'sec' in secs_ans:
x_seconds = True
else:
x_seconds = False
plotSteps(data, x_seconds)
else:
print("\tOkay, script will not produce a plot")