def main():
sample_info = {
x: {y: []
for y in ['min', 'max']}
for x in ['index', 'thumb']
}
sample_info['index']['min'] = [6, 2, 40, 4]
sample_info['index']['max'] = [16, 2, 40, 4]
sample_info['thumb']['min'] = [6, 2, 40, 4]
sample_info['thumb']['max'] = [26, 2, 40, 4]
pilot_data = Analyser.Subject('pilot/170808',
{'digits': ['thumb', 'index']})
for f in ['calibration1', 'calibration2']:
pilot_data.read_sample_file(f, 4, 5, 10)
pilot_data.data_set.data[f].print_velocity_data(
'pilot/%s Velocity Data.csv' % f)
for d in ['index', 'thumb']:
for m in ['min', 'max']:
pilot_data.generate_calibration_data(f, d, m, 10,
sample_info[d][m][0],
sample_info[d][m][1],
sample_info[d][m][2],
sample_info[d][m][3])
pilot_data.generate_velocity_change_plots()
pilot_data.generate_calibration_plot()
pilot_data.calc_calibration_values()
threshold = 1.0
times = {
'calibration1': [[33, 45], [73.2, 84], [113, 124]],
'calibration2': [[32, 44], [72.1, 84], [112, 117]]
}
#values = { 'calibration1' : { 'index' : [], 'thumb' : [] }, 'calibration2': { 'index' : [], 'thumb' : [] } }
values = {
x: {
y: {z: []
for z in ['Slow', 'Medium', 'Fast']}
for y in ['index', 'thumb']
}
for x in ['calibration1', 'calibration2']
}
f = open('pilot/170808/calibration_output.csv', 'w')
csv_writer = csv.writer(f, delimiter=',', quotechar='"')
csv_writer.writerow([
'Calibration File', 'Digit', 'Typing Speed', 'Movements',
'Movements/Sec', 'Average Velocity (%ROM/s)',
'Average Magnitude (%ROM)'
])
for k, v in times.items():
for d in ['index', 'thumb']:
for i in range(len(v)):
time_points = v[i]
if i == 0:
speed = 'Slow'
elif i == 1:
speed = 'Medium'
elif i == 2:
speed = 'Fast'
print('%s - %s' % (k, d))
print('Typing Speed between %0.2f and %0.2f' %
(time_points[0], time_points[1]))
movements = pilot_data.data_set.data[k].get_movement_count(
d, time_points[0], time_points[1], threshold)
values[k][d][speed].append(movements)
values[k][d][speed].append(movements /
(time_points[1] - time_points[0]))
values[k][d][speed].append(
pilot_data.data_set.data[k].get_movement_average_velocity(
d, time_points[0], time_points[1], threshold) /
pilot_data.ROM[d])
values[k][d][speed].append(
pilot_data.data_set.data[k].get_movement_average_magnitude(
d, time_points[0], time_points[1], threshold)[2] /
pilot_data.ROM[d])
print(' - Movements = %d' % movements)
print(' - per second = %0.2f' % values[k][d][speed][1])
print(' - avg velocity = %0.2f' % values[k][d][speed][2])
print(' - avg magnitude = %0.2f\n' % values[k][d][speed][3])
csv_writer.writerow([k, d, speed] + values[k][d][speed])
f.close()
