data_loader.set_window(64)
data_loader.set_leftover(4)
plotter = SignalPlotter(data_loader.prepare_timeline())
tracker = EyeTracker()
tracker.run()
while True:
s = file_loader.get_sample()
if s is None:
break
a = numpy.array(s)
data_loader.load_pack(a)
signal = data_loader.get_signal_set()
if signal:
eog_analyser.load_signal_set(signal)
decisions = eog_analyser.get_decisions(window = 10,
window_seconds = False,
jump = 1000,
min_sec_diff = 1.5)
for direction, time in decisions:
tracker.move_square(direction)
#plotter._timeline = data_loader.prepare_timeline()
#plotter.plot_set(signal)
#plotter.show()
class SampleAnalysis(ConfiguredMultiplexerServer):
"""A class responsible for handling signal message and making proper decision.
The class inherits from generic class for convinience - all technical stuff
is being done in this super-class"""
def __init__(self, addresses, frequency, window, leftover):
"""Initialization - super() and ready() calls are required..."""
super(SampleAnalysis, self).__init__(addresses=addresses,
type=peers.ANALYSIS)
self.eog_analyser = EogAnalyser(frequency, 0)
high_pass = HighpassFilter(frequency, 0.1)
self.data_loader = DataLoader([high_pass],
2,
frequency)
self.data_loader.set_window(window)
self.data_loader.set_leftover(leftover)
self.plotter = SignalPlotter(self.data_loader.prepare_timeline())
self.tracker = EyeTracker()
self.tracker.run()
self.ready()
LOGGER.info("Sample analysis init finished!")
def handle_message(self, mxmsg):
"""The only required function in the class
that will be fired every time message is received"""
if mxmsg.type == types.AMPLIFIER_SIGNAL_MESSAGE:
# Got proper message, let`s unpack it ...
# Messages are transmitted in bunches so lets define SampleVector
# in order to unpack bunch of Sample messages ...
l_vect = variables_pb2.SampleVector()
l_vect.ParseFromString(mxmsg.message)
# Now we have message unpacked, lets iterate over every sample ...
for s in l_vect.samples:
# Every sample has two fields:
# timestamp - system clock time of a moment of Sample`s creation
# channels - a list of values - one for every channel
#LOGGER.debug("Got sample with timestamp: "+str(s.timestamp))
# One can copy samples to numpy array ...
a = numpy.array(s.channels) # w tym miejscu mamy w tablicy a "paczke" próbek (domyślnie 4próbki ) ze wszystkich zadeklarowanych kanalow
self.data_loader.load_pack(a)
signal = self.data_loader.get_signal_set()
if signal:
self.eog_analyser.load_signal_set(signal)
decisions = self.eog_analyser.get_decisions(window = 10,
window_seconds = False,
jump = 1000,
min_sec_diff = 1.5)
for direction, time in decisions:
tracker.move_square(direction)
# Having a new bunch of values one can fire some magic analysis and
# generate decision ....
# Below we have quite simple decision-maker - it generates a random
# decision every ~100 samples-bunch
########## TU NA PODSTAWIE ANALLIZY PODEJMUJEMY DECYZJE I MOZEMY JA PRZEKAZAC DO RESZTY SYSTEMU OBCI ######################
########## W TYM PRZYKLADZIE JEST TO LOSOWA DECYZJA ##############
########## W TYM CWICZENIU WYSTARCZY JESLI WYPISZECIE DECYZJE NA EKRAN ###########
if random.random() > 0.99:
# Here we send DECISION message somewhere-to-the-system ...
# It's up to scenario's configuration how the decision will be used ...
# Eg. it might be used by LOGIC module to push some button in speller.
self.conn.send_message(message = str(random.randint(0,7)),
type = types.DECISION_MESSAGE,
flush=True)
else:
LOGGER.warning("Got unrecognised message type: "+str(mxmsg.type))
# Tell the system 'I`ll not respond to this message, I`m just receiving'
self.no_response()