def testParser(self): s = file("baseline.bytes").read() ts_recorder = TimeSeriesRecorder() parser = ThinkGearParser(recorders=[ts_recorder]) parser.feed(s) self.assertTrue(len(ts_recorder.attention) == len(ts_recorder.meditation) == len(ts_recorder.blink) == len(ts_recorder.poor_signal))
def main(): """Main loop capture.""" recorder = TimeSeriesRecorder() parser = ThinkGearParser(recorders=[recorder]) view = View() controller = Controller(view) socket, args = mindwave_startup(view=view, description="TEEG") mock = True spectra = [] spectrum_mean = False prediction = True iteration = 0 last_action = None while view.screen.quit is False: try: if socket is not None: data = socket.recv(10000) parser.feed(data) except BluetoothError: view.print_message("Bluetooth Error", "status") pass if mock: for _ in range(10): mock_data(parser) if has_recorded(recorder): flen = 50 if len(recorder.raw) >= 500: spectrum, relative_spectrum = bin_power( recorder.raw[-512 * 2:], range(flen), 512) # Mostrar a média spectral if spectrum_mean: spectra.append(array(relative_spectrum)) if len(spectra) > 30: spectra.pop(0) spectrum = mean(array(spectra), axis=0) else: spectrum = relative_spectrum view.update_spectrum(spectrum) else: pass if prediction and len(recorder.raw) >= 1024 and iteration % 5 == 0: if ai.kind == "raw": action, proba = ai.predict( array([array(recorder.raw[-512:], dtype=float32)])) else: dt, data_spec = bin_power(recorder.raw[-512:], range(flen), 512) action, proba = ai.predict(array([data_spec])) view.print_action(action, proba) if proba > 0.6 and (action != last_action or action == "tooth"): controller.send_action(action) last_action = action elif proba > 0.5 and action != last_action and action == "punchleft": controller.send_action(action) last_action = action view.print_waves(recorder) """if len(parser.current_vector)>7: m = max(p.current_vector) for i in range(7): if m == 0: value = 0 else: value = p.current_vector[i] *100.0/m pygame.draw.rect(window, redColor, (600+i*30,450-value, 6,value))""" elif socket is None: view.print_message("Mindwave not detected...", "status") pass else: view.print_message("Not receiving any data from mindwave...", "status") pass iteration += 1 time.sleep(0.01)
pairing mode first. """ if __name__ == '__main__': extra_args=[dict(name='measure', type=str, nargs='?', const="attention", default="attention", help="""Measure you want feedback on. Either "meditation" or "attention\"""")] socket, args = mindwave_startup(description=description, extra_args=extra_args) if args.measure not in ["attention", "meditation"]: print "Unknown measure %s" % repr(args.measure) sys.exit(-1) recorder = TimeSeriesRecorder() parser = ThinkGearParser(recorders=[recorder]) if args.measure== 'attention': measure_name = 'Attention' else: measure_name = 'Meditation' bar = ProgressBar(widgets=[measure_name, Percentage(), Bar()]).start() while 1: time.sleep(0.25) data = socket.recv(20000) parser.feed(data) v = 0 if args.measure == 'attention': if len(recorder.attention)>0:
# from mindwave.pyeeg import bin_power ''' import pygame, random, sys, numpy from numpy import * from pygame import * from mindwave.parser import ThinkGearParser, TimeSeriesRecorder from startup_sub import * from tello import * import paho.mqtt.client as mqtt description = """Tello Neurosky """ socket, args = mindwave_startup(description=description) recorder = TimeSeriesRecorder() parser = ThinkGearParser(recorders=[recorder]) # For MQTT MQTT_name = "localhost" Topic_name = "tello" mqtt_event = 0 mqtt_connected = False # Set mindwave mobile control_mode = False raw_eeg = True gain = 1.0 attention_value = 0 Th_attention = 50 Th2_attention = 90 attention_duration = 0
dict(name='measure', type=str, nargs='?', const="attention", default="attention", help="""Measure you want feedback on. Either "meditation" or "attention\"""") ] mw_socket, args = mindwave_startup(description=description, extra_args=extra_args) if args.measure not in ["attention", "meditation"]: print "Unknown measure %s" % repr(args.measure) sys.exit(-1) recorder = TimeSeriesRecorder() parser = ThinkGearParser(recorders=[recorder]) if args.measure == 'attention': measure_name = 'Attention' else: measure_name = 'Meditation' #bar = ProgressBar(widgets=[measure_name, Percentage(), Bar()]).start() sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server_address = ('192.168.43.119', 2222) print >> sys.stderr, 'connecting to %s port %s' % server_address sock.connect(server_address) while 1: time.sleep(0.25)
def run(self): extra_args = [ dict(name='measure', type=str, nargs='?', const="attention", default="attention", help="""Measure you want feedback on. Either "meditation" or "attention\"""") ] socket, args = mindwave_startup(description=description, extra_args=extra_args) if args.measure not in ["attention", "meditation"]: print "Unknown measure %s" % repr(args.measure) sys.exit(-1) recorder = TimeSeriesRecorder() parser = ThinkGearParser(recorders=[recorder]) spectra = [] while not self.quite: time.sleep(0.05) idelta = 0 itheta = 0 ialpha = 0 ibeta = 0 igamma = 0 try: data = socket.recv(10000) parser.feed(data) except BluetoothError: pass if len(recorder.attention) > 0: flen = 50 if len(recorder.raw) >= 512: self.data_ready = True spectrum, relative_spectrum = bin_power( recorder.raw[-512 * 3:], range(flen), 512) spectra.append(array(relative_spectrum)) if len(spectra) > 30: spectra.pop(0) spectrum = mean(array(spectra), axis=0) for i in range(flen - 1): value = float(spectrum[i] * 1000) if i < 3: idelta += value elif i < 8: itheta += value elif i < 13: ialpha += value elif i < 30: ibeta += value else: igamma += value if False: print "Delta: {}".format(self.delta) print "Theta: {}".format(self.theta) print "Alpha: {}".format(self.alpha) print "Beta: {}".format(self.beta) print "Gamma: {}".format(self.gamma) self.delta = idelta self.theta = itheta self.alpha = ialpha self.beta = ibeta self.gamma = igamma