libmetawear.mbl_mw_sensor_fusion_start(s.device.board)
print("start streaming")
sleep(5.0)
for s in states:
print("stop streaming")
libmetawear.mbl_mw_sensor_fusion_stop(s.device.board)
libmetawear.mbl_mw_acc_stop(s.device.board)
libmetawear.mbl_mw_acc_disable_acceleration_sampling(s.device.board)
print("Unsubscribing.. ")
signal = libmetawear.mbl_mw_sensor_fusion_get_data_signal(
s.device.board, SensorFusionData.EULER_ANGLE)
libmetawear.mbl_mw_datasignal_unsubscribe(signal)
acc = libmetawear.mbl_mw_sensor_fusion_get_data_signal(
s.device.board, SensorFusionData.LINEAR_ACC)
print("ths")
ths = libmetawear.mbl_mw_dataprocessor_threshold_create(
acc, ThresholdMode.BINARY, 0.2, 0.0, None, s.callbackax)
libmetawear.mbl_mw_datasignal_unsubscribe(ths)
print("ths ended")
libmetawear.mbl_mw_debug_disconnect(s.device.board)
print("Total Samples Received")
for s in states:
print("%s -> %d" % (s.device.address, s.samples))
print(az)
# setup averager - averages over 8 RMS samples @ 50Hz
avg = create_voidp(lambda fn: libmetawear.
mbl_mw_dataprocessor_average_create(rms, 8, None, fn),
resource="averager",
event=e)
print("Averager created")
# setup event on avg - reset averager
libmetawear.mbl_mw_event_record_commands(avg)
libmetawear.mbl_mw_dataprocessor_average_reset(avg)
create_voidp_int(
lambda fn: libmetawear.mbl_mw_event_end_record(avg, None, fn), event=e)
# setup threshold detector - detect anything above 1
ths = create_voidp(
lambda fn: libmetawear.mbl_mw_dataprocessor_threshold_create(
avg, ThresholdMode.BINARY, 1.0, 0.0, None, fn),
resource="threshold detector",
event=e)
print("Threshold detector created")
# setup logger - log the final signal of the averaged data
ths_logger = create_voidp(
lambda fn: libmetawear.mbl_mw_datasignal_log(ths, None, fn),
resource="threshold logger",
event=e)
print("Threshold logger created")
# start accelerometer and event logging
libmetawear.mbl_mw_acc_enable_acceleration_sampling(d.board)
libmetawear.mbl_mw_acc_start(d.board)
libmetawear.mbl_mw_logging_start(d.board, 0)
