#script que convierte todos los ficheros con una fila de información en un fichero con todas las lineas
from libs import datalog
report = datalog.DatalogManager()
index = 1
ficherofinal = open(
'/home/icarus/Descargas/eZ430-Chronos-master (2)/data/MuestrasBDD/ManoIZQ/Normalizado/Random/LizqSUMnormalizado.txt',
'w')
filename = 'Lrandomnormalizado'
while index <= 100:
ficheroactual = open(
'/home/icarus/Descargas/eZ430-Chronos-master (2)/data/MuestrasBDD/ManoIZQ/Normalizado/Random/'
+ filename + str(index))
ficherofinal.write(ficheroactual.read())
ficherofinal.write('\n')
index += 1
class FreeMovement:
communication = communications.CommunicationManager()
filtering = filterings.FilteringManager()
report = datalog.DatalogManager()
drone = ARDrone()
drone.emergency()
drone.trim()
drone.navdata_ready.wait() # wait until NavData is ready
drone.set_navdata_available()
navdata = drone.get_navdata()
initial_yaw = navdata.psi
bat = navdata.vbat_flying_percentage
print('Battery = ' + str(bat) + '%')
mixer.init()
alert1 = mixer.Sound('beep-07.wav')
alert2 = mixer.Sound('beep-08.wav')
communication.open_serial_port()
max_samples = 14
watch_samples_counter = -1
handside = 'left'
x_axis_acceleration = []
y_axis_acceleration = []
z_axis_acceleration = []
acceleration = []
clap = 0
sample_time = 0.05
time_limit = 120
# Datalog time
report.create_file('detection.txt')
report.record_data('detection.txt', 'direction', 'x', 'y', 'z')
mode = [0]
line = []
threading._start_new_thread(input_thread, (line, ))
x_direction = ' '
old_x_direction = ' '
y_direction = ' '
old_y_direction = ' '
take_off = False
time_initial = time.time()
last_activity = time_initial
last_down_movement = 0
while time.time() - time_initial <= time_limit:
if line:
break
if drone.state.vbat_low == 1:
print('low bat')
break
bytes_to_read = communication.send_data_request()
inbyte = communication.read_data(bytes_to_read)
enter = filtering.data_availability(bytes_to_read, inbyte)
if (bytes_to_read >= 7 and inbyte[3] == 1
and enter is True) or (bytes_to_read == 14 and inbyte[10] == 1
and enter is True):
watch_samples_counter += 1
if watch_samples_counter == 0:
alert1.play()
x_axis_acceleration.append(inbyte[bytes_to_read - 3])
y_axis_acceleration.append(inbyte[bytes_to_read - 2])
z_axis_acceleration.append(inbyte[bytes_to_read - 1])
filtering.filter_acceleration(x_axis_acceleration,
watch_samples_counter)
filtering.filter_acceleration(y_axis_acceleration,
watch_samples_counter)
filtering.filter_acceleration(z_axis_acceleration,
watch_samples_counter)
x_axis_acceleration[watch_samples_counter], y_axis_acceleration[
watch_samples_counter], z_axis_acceleration[
watch_samples_counter] = filtering.handside_mode_3_axis(
x_axis_acceleration[watch_samples_counter],
y_axis_acceleration[watch_samples_counter],
z_axis_acceleration[watch_samples_counter], handside)
acceleration = [
x_axis_acceleration[watch_samples_counter],
y_axis_acceleration[watch_samples_counter],
z_axis_acceleration[watch_samples_counter]
]
if np.linalg.norm(acceleration) >= 130 and time.time(
) - last_activity <= 3 and take_off is False:
print('CLAP!!!')
time.sleep(1)
alert2.play()
if clap == 1:
take_off = True
while not drone.state.fly_mask:
drone.takeoff()
drone.hover()
time.sleep(10)
alert1.play()
x_axis_acceleration[watch_samples_counter] = 15
y_axis_acceleration[watch_samples_counter] = 15
sample_time = 0.5
time.sleep(1)
clap += 1
mode.append(0)
if take_off is True and x_axis_acceleration[watch_samples_counter] >= -85 \
and x_axis_acceleration[watch_samples_counter] <= -55:
mode[watch_samples_counter] = 1
print('mode = 1 (left...)')
elif take_off is True and z_axis_acceleration[watch_samples_counter] >= 55 \
and z_axis_acceleration[watch_samples_counter] <= 85:
mode[watch_samples_counter] = 2
print('mode = 2 (up...)')
if mode[watch_samples_counter - 1] != mode[watch_samples_counter]:
print('MODE CHANGE')
if mode[watch_samples_counter-2] == 1 and take_off is True \
and x_axis_acceleration[watch_samples_counter] <= -20 \
and x_axis_acceleration[watch_samples_counter] >= -55 and abs(
y_axis_acceleration[watch_samples_counter]) < abs(
x_axis_acceleration[watch_samples_counter]) and old_x_direction == ' '\
and z_axis_acceleration[watch_samples_counter] < -20:
x_direction = 'left '
alert1.play()
print(x_direction)
initial_flight_time = time.time()
while time.time() - initial_flight_time <= 2:
drone.move(left=0.1)
last_activity = time.time()
elif mode[watch_samples_counter-2] == 1 and take_off is True \
and x_axis_acceleration[watch_samples_counter] <= -20 \
and x_axis_acceleration[watch_samples_counter] >= -55 and abs(
y_axis_acceleration[watch_samples_counter]) < abs(
x_axis_acceleration[watch_samples_counter]) and old_x_direction == ' ' \
and z_axis_acceleration[watch_samples_counter] > 20:
x_direction = 'right '
alert1.play()
print(x_direction)
initial_flight_time = time.time()
while time.time() - initial_flight_time <= 2:
drone.move(right=0.1)
last_activity = time.time()
elif mode[watch_samples_counter-2] == 1 and take_off is True \
and y_axis_acceleration[watch_samples_counter] >= 30 and abs(
x_axis_acceleration[watch_samples_counter]) < abs(
y_axis_acceleration[watch_samples_counter]) and old_y_direction == ' ':
y_direction = 'backward'
alert1.play()
print(y_direction)
initial_flight_time = time.time()
while time.time() - initial_flight_time <= 2:
drone.move(backward=0.1)
last_activity = time.time()
elif mode[watch_samples_counter-2] == 1 and take_off is True \
and y_axis_acceleration[watch_samples_counter] <= -20 and abs(
x_axis_acceleration[watch_samples_counter]) < abs(
y_axis_acceleration[watch_samples_counter]) and old_y_direction == ' ':
y_direction = 'forward'
alert1.play()
print(y_direction)
initial_flight_time = time.time()
while time.time() - initial_flight_time <= 2:
drone.move(forward=0.1)
last_activity = time.time()
elif mode[watch_samples_counter-2] == 2 and take_off is True \
and y_axis_acceleration[watch_samples_counter] >= 30 and abs(
x_axis_acceleration[watch_samples_counter]) < abs(
y_axis_acceleration[watch_samples_counter]) and old_y_direction == ' ':
y_direction = 'down'
alert1.play()
print(y_direction)
if time.time() - last_down_movement <= 5:
time_initial = 0
initial_flight_time = time.time()
while time.time() - initial_flight_time <= 2:
drone.move(down=0.3)
last_activity = time.time()
last_down_movement = time.time()
elif mode[watch_samples_counter-2] == 2 and take_off is True \
and y_axis_acceleration[watch_samples_counter] <= -20 and abs(
x_axis_acceleration[watch_samples_counter]) < abs(
y_axis_acceleration[watch_samples_counter]) and old_y_direction == ' ':
y_direction = 'up'
alert1.play()
print(y_direction)
initial_flight_time = time.time()
while time.time() - initial_flight_time <= 2:
drone.move(up=0.3)
last_activity = time.time()
if time.time() - last_activity >= 1:
last_activity = time.time()
print('1 sec without movement')
report.record_data(
'detection.txt',
str(mode[watch_samples_counter]) + x_direction + y_direction,
x_axis_acceleration[watch_samples_counter],
y_axis_acceleration[watch_samples_counter],
z_axis_acceleration[watch_samples_counter])
old_x_direction = x_direction
x_direction = ' '
old_y_direction = y_direction
y_direction = ' '
time.sleep(sample_time)
alert2.play()
time.sleep(1)
navdata = drone.get_navdata()
bat = navdata.vbat_flying_percentage
print('Battery = ' + str(bat) + '%')
while drone.state.fly_mask:
drone.land()
if not drone.state.fly_mask:
print('CIAO!')