def __init__(self, frecs):
self.signal = signal
self.headset = Emotiv(display_output=False)
gevent.spawn(self.analizeProccess)
gevent.sleep(0)
self.frecs = frecs
pass
def analizeProccess(self):
headset = Emotiv(display_output = False)
gevent.spawn(headset.setup)
gevent.sleep(0)
packets = {};
bufferLenght = 128*3
sensors = "O1 O2".split(' ')
print "analize"
for name in sensors:
packets[name] = []
pass
while True:
p = headset.dequeue()
if p != None:
for name in sensors:
packets[name].append(p.sensors[name]['value'])
pass
if len(packets[sensors[0]]) >= bufferLenght:
self.signal = self.analize(packets,sensors,bufferLenght,[8,12])
#print self.signal
for name in sensors:
packets[name] = packets[name][5:]
pass
pass
gevent.sleep(0)
pass
def epocBuffer(self):
cont = 0
logging.debug("Iniciando buffer del epoc")
headset = Emotiv(display_output=False)
gevent.spawn(headset.setup)
gevent.sleep(0)
showFillMessage = True
while self.epocBufferState:
packet = headset.dequeue()
key.acquire()
if packet == None:
logging.debug("Error, paquete nulo")
else:
#print packet.gyro_x, packet.gyro_y
self.packages.append(packet)
#print packet.sensors['O2']['value']
if len(self.packages) > self.bufferlength:
if showFillMessage:
logging.debug("Buffer lleno con " +
str(self.bufferlength) + " paquetes")
showFillMessage ^= True
self.packages = self.packages[10:]
gevent.sleep(0)
key.release()
pass
headset.close()
logging.debug("Buffer detenido")
pass
def __init__(self, input):
threading.Thread.__init__(self)
self.headset = Emotiv()
self.f3 = input['F3']
self.f4 = input['F4']
self.af3 = input['AF3']
self.af4 = input['AF4']
def console_gather() :
os.system('clear')
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
packets = 0
now = datetime.now()
filename = str(now.time()) + "_" + str(now.date())
while True :
dir = str(input("Choose input: \n 1. up\n 2. down\n 3. left\n 4. right\n 0. neutral\n"))
if dir in ['1','2','3','4','0'] : break
filename += "_" + dir
if TEST : filename = "TEST_" + filename
buffers = []
names = 'AF3 F7 F3 FC5 T7 P7 O1 O2 P8 T8 FC6 F4 F8 AF4'.split(' ')
for name in names :
buffers.append(sensor_buffer(name))
print "Training will start in..."; sleep(1); print "3..."; sleep(1); print "2..."; sleep(1); print "1..."; sleep(1); print "Focus!"
qualities = []
timeout = time() + 12
while True:
if time() > timeout :
break
packet = headset.dequeue()
for buffer in buffers :
buffer.update( packet )
packets += 1
gevent.sleep(0)
headset.close()
quality = 0.
f = open("./data/" + filename,'w')
columns = []
for name in names :
columns.append(str(name))
columns.append('Q' + str(name))
f.write(','.join(columns))
f.write('\n')
while packets > 0 :
for buffer in buffers :
f.write( buffer.pop() )
f.write('\n')
packets -= 1
f.close()
print "Finished reading, saved to file %s" % filename
for buffer in buffers :
print "Sensor %s mean quality: %.2f" % (buffer.name, buffer.mean_quality())
def __init__(self):
super(EmoGetter, self).__init__()
self.headset = Emotiv()
gevent.spawn(self.headset.setup)
gevent.sleep(0)
self.running = True
def run(self):
self.headset = Emotiv()
gevent.spawn(self.headset.setup)
gevent.sleep(0)
print("Serial Number: %s" % self.headset.serial_number)
while True:
packet = self.headset.dequeue()
self.f3.insert(packet.sensors['F3']['value'])
self.f4.insert(packet.sensors['F4']['value'])
self.af3.insert(packet.sensors['AF3']['value'])
self.af4.insert(packet.sensors['AF4']['value'])
gevent.sleep(0)
def session():
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
labels = ['0', '1', '2', '3', '4']
for label in labels:
os.system('clear')
print "Training for class: ", label
raw_input("Press Enter to start training...")
class_gather(label, headset)
headset.close()
def session() :
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
labels = ['0', '1', '2', '3', '4']
for label in labels :
os.system('clear')
print "Training for class: ", label
raw_input("Press Enter to start training..." )
class_gather(label, headset)
headset.close()
def epoc_publish_frames():
# Setup ROS publisher.
publisher = rospy.Publisher('epoc/frames', EEGFrame)
# Open a connection to the Emotiv EPOC.
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(1)
# Initialize ROS node+publisher.
rospy.init_node('epoc_publish')
# Start the publishing loop.
rospy.loginfo('Starting publishing loop...')
published_count = 0
try:
while not rospy.is_shutdown():
# Get the next packet from the EPOC.
packet = headset.dequeue()
frame_header = Header(published_count, rospy.Time.now(), '/epoc')
frame_accel_x = packet.sensors['X']['value']
frame_accel_y = packet.sensors['Y']['value']
frame_signals = [
packet.sensors[channel]['value']
for channel in channels]
frame_qualities = [
packet.sensors[channel]['quality']
for channel in channels]
frame = EEGFrame(
frame_header,
frame_accel_x,
frame_accel_y,
14,
channels,
frame_signals,
frame_qualities)
# Publish the the EEG channels and accelerometer values.
publisher.publish(frame)
# Update and print information count.
published_count += 1
print('\rPublished: %d' % published_count, end='')
gevent.sleep(0)
except rospy.ROSInterruptException:
headset.close()
def run(self):
O1_buff = ring_buffer(self.tw)
i = 0
#old=0
#old2=0
with Emotiv(display_output=False, verbose=True,
write=False) as headset:
try:
while not self._stop.isSet():
packet = headset.dequeue()
if packet is not None:
i = i + 1
data = []
for name in electrodes.split(' '):
data.append([
packet.sensors[name]['value'],
packet.sensors[name]['quality']
])
O1_buff.write(data)
#print(time.time()-old)
#old=time.time()
pass
if i == self.step:
self.flag1.set()
self.q1.put(O1_buff.list_ret())
self.flag1.clear()
i = 0
#print(time.time()-old2)
#old2=time.time()
except:
pass
def _initOldEmotiv(self, display_output, write_to_file):
self.emotiv = Emotiv(display_output, write_to_file)
gevent.spawn(self.emotiv.setup)
gevent.sleep(0)
if not self._isOldEmotivConnected():
self.emotiv.close()
self._loadDummyData()
def test_repr():
data = get_test_data()
packet = Emotiv(data)
# tests #214
assert packet.battery == 0
def read(queue):
print "Started"
with Emotiv(write_values=False) as headset:
while True:
packet = headset.dequeue()
if packet is not None and queue is not None:
queue.put(packet)
def main():
if not platform.system() == 'Windows':
screen = Xlib()
else:
screen = WinMouse()
width = screen.width
height = screen.height
cursor_x, cursor_y = width // 2, height // 2
with Emotiv(display_output=True, verbose=False) as headset:
while headset.running:
updated = False
try:
packet = headset.dequeue()
if packet is None:
continue
if abs(packet.sensors['X']['value']) > 1:
cursor_x -= packet.sensors['X']['value']
updated = True
if abs(packet.sensors['Y']['value']) > 1:
cursor_y += packet.sensors['Y']['value']
updated = True
cursor_x = max(0, min(cursor_x, width))
cursor_y = max(0, min(cursor_y, height))
if updated:
screen.move_mouse(cursor_x, cursor_y)
time.sleep(0.001)
except:
pass
def main(self):
with Emotiv(display_output=False, verbose=False, write=True, output_path="/home/leonardo/Documents/eeg_hmi/signals") as emotiv:
self.time = time.time()
while emotiv.running:
try:
packet = emotiv.dequeue()
print np.round((time.time()-self.time),0)
if (np.round((time.time()-self.time),2) == 0 and self.c == 0):
# os.system("gnome-terminal -e 'bash -c \"cvlc --fullscreen --loop ~/Documents/eeg_hmi/dataset/black.jpg &; exec bash\"'")
# os.system("cvlc --fullscreen --loop ~/Documents/eeg_hmi/dataset/black.jpg &")
subprocess.Popen("cvlc --fullscreen --loop ~/Documents/eeg_hmi/dataset/black.jpg &", shell=True)
if ((np.round((time.time()-self.time),0) == self.init_time+self.step)and self.c == 1):
# os.system("gnome-terminal -e 'bash -c \"cvlc --fullscreen "+self.path+"/"+str(self.count)+".mp4 &; exec bash\"'")
# os.system("cvlc --fullscreen "+self.path+"/"+str(self.count)+".mp4 &")
subprocess.Popen("cvlc --fullscreen "+self.path+"/"+str(self.count)+".mp4 &", shell=True)
if ((np.round((time.time()-self.time),0) == (self.init_time+self.clip_time)+self.step) and self.c == 2):
os.system("cvlc --fullscreen --loop ~/Documents/eeg_hmi/dataset/SAM.png &")
if ((np.round((time.time()-self.time),0) == (self.init_time+self.clip_time+self.questions_time)+self.step)and self.c == 3):
os.system("cvlc --fullscreen --loop ~/Documents/eeg_hmi/dataset/black.jpg &")
if ((np.round((time.time()-self.time),0) == (self.init_time+self.clip_time+self.questions_time+self.rest_time)+self.step)and self.c == 4):
if (self.count < self.num_clips):
self.count+=1
self.step = self.step + (self.init_time+self.clip_time+self.questions_time+self.rest_time)
else:
os.system("pkill -f vlc &")
emotiv.stop() #stop experiment
except Exception:
emotiv.stop()
time.sleep(0.001)
def GetDataO(tm):
fs = 128.0 #Frecuencia de muestreo
N = fs * tm #Numero de muestras
ct = 0 #Contador
dt = [] #Vector de datos
with Emotiv(display_output=False, verbose=True) as headset:
while ct < N:
packet = headset.dequeue()
if packet is not None:
# print packet.sensors
# print "########################"
dic = {}
for key, value in packet.sensors.iteritems():
value = packet.sensors[key]['value']
quality = packet.sensors[key]['quality']
dic[key] = (value, quality)
dt.append(dic)
ct += 1
time.sleep(0.007)
ldic = dt
dicx = ldic[0].copy()
for key, value in dicx.iteritems():
dicx[key] = []
for i in ldic:
for key, value in i.iteritems():
value = i[key][0]
quality = i[key][1]
dicx[key].append((quality, value))
pass
return dicx
def evt_main():
global is_running
ring_buf = np.zeros(x.size)
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
pos = 0
try:
while is_running:
packet = headset.dequeue()
print packet.gyro_x, packet.gyro_y
ring_buf[pos] = packet.sensors["O1"]["value"]
pos = (pos + 1) % ring_buf.size
if pos % 4 == 0:
yield np.concatenate(
(ring_buf[pos:ring_buf.size:1], ring_buf[0:pos:1]))
gevent.sleep(0)
except KeyboardInterrupt:
headset.close()
finally:
is_running = False
headset.close()
def emoPollingWorker(sharedObject):
global running
with Emotiv(display_output=True, verbose=False) as headset:
while True:
packet = headset.dequeue()
if packet is not None:
sharedObject["sensors"] = copy.deepCopy(packet.sensors)
time.sleep(0.001)
def _thread_reading_online(self):
"""
Helper function for reading online data.
To be used as a thread, putting data to queue.
"""
online_data = dict(
zip(self.channel_list,
[[] for i in range(len(self.channel_list))]))
counter = 0
headset = Emotiv(display_output=False,
serial_number=self.serial_number,
write_values=False)
# epoc_channels = [k[1] for k in enumerate(self.headset.sensors)]
try:
start_time = time.time()
while True:
packet = headset.dequeue()
if packet is not None:
for ch in self.channel_list:
quality = packet.sensors[ch]['quality']
data = packet.sensors[ch]['value']
online_data[ch].append((data * 0.51) / 1000.) # in mV
counter += 1
if counter >= self.buffer_size:
ratio = self.sampling_rate // self.buffer_size
# assert ((time.time() - start_time) % (1./ratio)) < 0.075 # assert sampling rate
# print((time.time() - start_time) % (1./ratio))
# if not ((time.time() - start_time) % 1) < 0.05:
# print("WARNING: sampling rate is low!")
self.online_data_queue.put(
[online_data, headset.battery])
online_data = dict(
zip(self.channel_list,
[[] for i in range(len(self.channel_list))]))
counter = 0
except KeyboardInterrupt:
print("stopping...")
self.stop()
def epoc_publish_channels():
# Setup ROS publishers.
signal_publishers = {
channel: rospy.Publisher('epoc/signal/%s' % channel, UInt32)
for channel
in channels}
quality_publishers = {
channel: rospy.Publisher('epoc/quality/%s' % channel, UInt32)
for channel
in channels}
# Open a connection to the Emotiv EPOC.
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(1)
# Initialize ROS node+publisher.
rospy.init_node('epoc_publish')
# Start the publishing loop.
rospy.loginfo('Starting publishing loop...')
published_count = 0
try:
while not rospy.is_shutdown():
# Get the next packet from the EPOC.
packet = headset.dequeue()
# Publish the the EEG channels and accelerometer values.
for channel in channels:
signal = UInt32(packet.sensors[channel]['value'])
quality = UInt32(packet.sensors[channel]['quality'])
signal_publishers[channel].publish(signal)
quality_publishers[channel].publish(quality)
# Update and print information count.
published_count += 1
print('\rPublished: %d' % published_count, end='')
gevent.sleep(0)
except rospy.ROSInterruptException:
headset.close()
def evt_main():
global is_running
ring_buf = np.zeros(x.size)
ring_buf2 = np.zeros(x.size)
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
pos = 0
try:
while is_running:
packet = headset.dequeue()
print packet.gyro_x, packet.gyro_y
ring_buf[pos] = packet.sensors["O1"]["value"]
ring_buf2[pos] = packet.sensors["O2"]["value"]
pos = (pos + 1) % ring_buf.size
if pos % 4 == 0:
yield np.concatenate((ring_buf[pos:ring_buf.size:1], ring_buf[0:pos:1])), np.concatenate((ring_buf2[pos:ring_buf.size:1], ring_buf2[0:pos:1]))
gevent.sleep(0)
except KeyboardInterrupt:
headset.close()
finally:
is_running = False
headset.close()
def main_process(self):
"""
Get realtime EEG data from Emotiv EPOC, process all data (FFT, feature extraction, and classification), and predict the emotion.
Input: -
Output: Class of emotion between 1 to 5 according to Russel's Circumplex Model.
"""
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
threads = []
eeg_realtime = np.zeros((number_of_channel, number_of_realtime_eeg),
dtype=np.double)
counter = 0
init = True
try:
#Looping to get realtime EEG data from Emotiv EPOC
while True:
packet = headset.dequeue()
#Get initial EEG data for all channels
if init:
for i in range(number_of_channel):
eeg_realtime[i, counter] = packet.sensors[
channel_names[i]]['value']
else:
new_data = [
packet.sensors[channel_names[i]]['value']
for i in range(number_of_channel)
]
eeg_realtime = np.insert(eeg_realtime,
number_of_realtime_eeg,
new_data,
axis=1)
eeg_realtime = np.delete(eeg_realtime, 0, axis=1)
#If EEG data have been recorded in ... seconds, then process data to predict emotion
if counter == (sampling_rate -
1) or counter == (number_of_realtime_eeg - 1):
t = threading.Thread(target=rte.process_all_data,
args=(eeg_realtime, ))
threads.append(t)
t.start()
init = False
counter = 0
gevent.sleep(0)
counter += 1
except KeyboardInterrupt:
headset.close()
finally:
headset.close()
def __init__(self, parent=None):
self.headset = Emotiv()
self.electrodePairing = { \
"AF3": {'pair': "AF4", 'order': 1},
"AF4": {'pair': "AF3", 'order': 0},
"F3": {'pair': "F4", 'order': 1},
"F4": {'pair': "F3", 'order': 0},
"F7": {'pair': "F8", 'order': 1},
"F8": {'pair': "F7", 'order': 0},
"FC5": {'pair': "FC6", 'order': 1},
"FC6": {'pair': "FC5", 'order': 0},
"T7": {'pair': "T8", 'order': 1},
"T8": {'pair': "T7", 'order': 0},
"P7": {'pair': "P8", 'order': 1},
"P8": {'pair': "P7", 'order': 0},
"O1": {'pair': "O2", 'order': 1},
"O2": {'pair': "O1", 'order': 0},
}
self.timer = pg.QtCore.QTimer()
self.recording = False
self.parser = PacketParser()
self.header_text = "Timestamp,F3 Value,F3 Quality,FC5 Value,FC5 Quality,F7 Value,F7 Quality,T7 Value,T7 Quality,P7 Value,P7 Quality,O1 Value,O1 Quality,O2 Value,O2 Quality,P8 Value,P8 Quality,T8 Value,T8 Quality,F8 Value,F8 Quality,AF4 Value,AF4 Quality,FC6 Value,FC6 Quality,F4 Value,F4 Quality,AF3 Value,AF3 Quality,X Value,Y Value,Z Value"
def __init__(self,
connect_new_device=True,
cache=True,
cache_length=200,
is_research=True,
**kwargs):
self.current_y = 22
self.previous_y = 22
self.speed_y = 22
self.cache = cache
self.t_last_window = time.time()
self.t = []
if self.cache:
self.cache_data = dict()
self.cache_decoder = np.zeros((emotiv_decoder.OUTPUT_DIM, 1))
for ch in CHANNELS:
self.cache_data[ch] = [0]
self.cache_length = cache_length
if connect_new_device:
self.emotiv = Emotiv(display_output=False, is_research=is_research)
else:
self.emotiv = kwargs['emotiv']
self.load_calibration()
def main():
with Emotiv(display_output=False,
verbose=False,
write=False,
force_epoc_mode=True,
is_research=True) as headset:
while headset.running:
try:
packet = headset.dequeue()
if packet is not None:
sendToMatlab(packet)
time.sleep(0.001)
except Exception:
clientsocket.close()
headset.stop()
def main():
pub = rospy.Publisher('emotiv_raw', Data, queue_size=1000)
rospy.init_node('emotiv_node')
rate = rospy.Rate(128)
msg = Data()
with Emotiv(display_output=False, verbose=False, write=False, force_epoc_mode=True, is_research=True) as headset:
while not rospy.is_shutdown():
try:
packet = headset.dequeue()
if packet is not None:
updateMsg(packet, msg)
pub.publish(msg)
rate.sleep()
except rospy.ROSInterruptException:
headset.stop()
def __init__(self, channels, gheight):
"""
Creates pygame window and graph drawing workers for each sensor.
"""
pygame.init()
self.screen = pygame.display.set_mode(resolution)
self.graphers = []
self.record_packets = []
self.fullscreen = False
self.recording = False
self.updated = False
self.middle_x, self.middle_y = resolution[0]/2, resolution[1]/2
for i, name in enumerate(channels):
self.graphers.append(Grapher(self.screen, gheight, name, i))
self.emotiv = Emotiv(display_output=False)
gevent.spawn(self.emotiv.setup)
gevent.sleep(0)
def evt_main():
global is_running
ring_buf = np.zeros(x.size)
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
pos = 0
try:
while is_running:
packet = headset.dequeue()
yield packet
gevent.sleep(0)
except KeyboardInterrupt:
headset.close()
finally:
is_running = False
headset.close()
def getDataO(self, tm):
fs = 128.0 #Frecuencia de muestreo
N = fs * tm #Numero de muestras
ct = 0 #Contador
dt = [] #Vector de datos
with Emotiv(display_output=False, verbose=True) as headset:
while ct < N:
packet = headset.dequeue()
if packet is not None:
# print packet.sensors
# print "########################"
dic = {}
for key, value in packet.sensors.iteritems():
value = packet.sensors[key]['value']
quality = packet.sensors[key]['quality']
dic[key] = (value, quality)
dt.append(dic)
ct += 1
time.sleep(0.007)
return dt
class ThreadReaderEmotiv(Thread):
def __init__(self, input):
threading.Thread.__init__(self)
self.headset = Emotiv()
self.f3 = input['F3']
self.f4 = input['F4']
self.af3 = input['AF3']
self.af4 = input['AF4']
def run(self):
self.headset = Emotiv()
gevent.spawn(self.headset.setup)
gevent.sleep(0)
print("Serial Number: %s" % self.headset.serial_number)
while True:
packet = self.headset.dequeue()
self.f3.insert(packet.sensors['F3']['value'])
self.f4.insert(packet.sensors['F4']['value'])
self.af3.insert(packet.sensors['AF3']['value'])
self.af4.insert(packet.sensors['AF4']['value'])
gevent.sleep(0)
def collect_raw_thread():
""" collect raw data from another thread"""
sensor_names = ["T7", "T8", "P7", "P8", "O1", "O2"]
with Emotiv(display_output=True,
write=True,
write_decrypted=True,
verbose=True,
output_path="data") as headset:
O2_array = []
while True:
packet = headset.dequeue()
sensor_vals = []
if packet is not None:
for i in sensor_names:
sensor_vals.append(dict(packet.sensors)[i]['value'])
O2_array.append(sensor_vals[5])
socketio.sleep(0.0078)
if len(O2_array) % 1024 == 0:
Fourier_Thread(O2_array[-1024:])
arr = sensor_vals
socketio.emit('array_response', {
'data': 'Server generated event',
'data': O2_array
},
namespace='/test')
socketio.emit('raw_response', {
'data': 'Server generated event',
'raw_array': arr
},
namespace='/test')
def evt_main():
global is_running
ring_buf = np.zeros(x.size)
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
pos = 0
try:
while is_running:
packet = headset.dequeue()
yield packet
gevent.sleep(0)
except KeyboardInterrupt:
headset.close()
finally:
is_running = False
headset.close()
def main_process(self): """ Get realtime EEG data from Emotiv EPOC, process all data (FFT, feature extraction, and classification), and predict the emotion. Input: - Output: Class of emotion between 1 to 5 according to Russel's Circumplex Model. """ headset = Emotiv() gevent.spawn(headset.setup) gevent.sleep(0) threads = [] eeg_realtime = np.zeros((number_of_channel,number_of_realtime_eeg),dtype=np.double) counter=0 init=True try: #Looping to get realtime EEG data from Emotiv EPOC while True: packet = headset.dequeue() #Get initial EEG data for all channels if init: for i in range(number_of_channel):eeg_realtime[i,counter]=packet.sensors[channel_names[i]]['value'] else: new_data=[packet.sensors[channel_names[i]]['value'] for i in range(number_of_channel)] eeg_realtime=np.insert(eeg_realtime,number_of_realtime_eeg,new_data,axis=1) eeg_realtime=np.delete(eeg_realtime,0,axis=1) #If EEG data have been recorded in ... seconds, then process data to predict emotion if counter == (sampling_rate-1) or counter == (number_of_realtime_eeg-1): t = threading.Thread(target=rte.process_all_data, args=(eeg_realtime,)) threads.append(t) t.start() init=False counter=0 gevent.sleep(0) counter += 1 except KeyboardInterrupt: headset.close() finally: headset.close()
def evt_main(ring_buf):
global is_running
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
pos = 0
try:
while is_running:
packet = headset.dequeue()
print packet.gyro_x, packet.gyro_y
ring_buf[pos] = packet.sensors["FC5"]["value"]
if pos % 4 == 0:
yield ring_buf
pos = (pos + 1) % ring_buf.size
gevent.sleep(0)
except KeyboardInterrupt:
headset.close()
finally:
is_running = False
headset.close()
def packets():
global is_running
ring_buf = np.zeros(x.size)
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
pos = 0
try:
while is_running:
packet = headset.dequeue()
data = {key: (value["value"], value["quality"])
for (key, value) in packet.sensors.items()}
yield data
gevent.sleep(0)
except KeyboardInterrupt:
headset.close()
finally:
is_running = False
headset.close()
def evt_main(ring_buf):
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
pos = 0
try:
while True:
packet = headset.dequeue()
print packet.gyro_x, packet.gyro_y
ring_buf[pos] = packet.gyro_x
if pos % 4 == 0:
yield ring_buf
pos = (pos + 1) % 1024
gevent.sleep(0)
except KeyboardInterrupt:
headset.close()
finally:
is_running = False
headset.close()
def evt_main(ring_buf):
global is_running
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
pos = 0
try:
while is_running:
packet = headset.dequeue()
print packet.gyro_x, packet.gyro_y
ring_buf[pos] = packet.sensors["FC5"]["value"]
if pos % 4 == 0:
yield ring_buf
pos = (pos + 1) % ring_buf.size
gevent.sleep(0)
except KeyboardInterrupt:
headset.close()
finally:
is_running = False
headset.close()
from emokit.emotiv import Emotiv
if __name__ == "__main__":
with Emotiv() as headset:
while True:
packet = headset.dequeue()
if packet is not None:
print("Gyro - X:{x_position} Y:{y_position}".format(x_position=packet.sensors['X']['value'],y_position=packet.sensors['Y']['value']))
def main(debug=False):
global gheight
pygame.init()
screen = pygame.display.set_mode((1600, 900))
graphers = []
recordings = []
recording = False
record_packets = []
updated = False
curX, curY = 400, 300
for name in 'AF3 F7 F3 FC5 T7 P7 O1 O2 P8 T8 FC6 F4 F8 AF4'.split(' '):
graphers.append(Grapher(screen, name, len(graphers)))
fullscreen = False
emotiv = Emotiv(displayOutput=False)
gevent.spawn(emotiv.setup)
gevent.sleep(1)
while True:
for event in pygame.event.get():
if event.type == pygame.QUIT:
emotiv.close()
return
if (event.type == pygame.KEYDOWN):
if (event.key == pygame.K_ESCAPE):
emotiv.close()
return
elif (event.key == pygame.K_f):
if fullscreen:
screen = pygame.display.set_mode((1600, 900))
fullscreen = False
else:
screen = pygame.display.set_mode((1600,900), FULLSCREEN, 16)
fullscreen = True
elif (event.key == pygame.K_r):
if not recording:
record_packets = []
recording = True
else:
recording = False
recordings.append(list(record_packets))
record_packets = None
packetsInQueue = 0
try:
while packetsInQueue < 8:
packet = emotiv.dequeue()
print(packet.sensors)
if abs(packet.gyroX) > 1:
curX = max(0, min(curX, 1600))
curX -= packet.gyroX
if abs(packet.gyroY) > 1:
curY += packet.gyroY
curY = max(0, min(curY, 900))
map(lambda x: x.update(packet), graphers)
if recording:
record_packets.append(packet)
updated = True
packetsInQueue += 1
except Exception, e:
print e
if updated:
screen.fill((75, 75, 75))
map(lambda x: x.draw(), graphers)
pygame.draw.rect(screen, (255, 255, 255), (curX - 5, curY - 5, 10, 10), 0)
pygame.display.flip()
updated = False
gevent.sleep(0)
# This is an example of popping a packet from the Emotiv class's packet queue
# and printing the gyro x and y values to the console.
from emokit.emotiv import Emotiv
import gevent
if __name__ == "__main__":
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
try:
while True:
packet = headset.dequeue()
print packet.gyro_x, packet.gyro_y
gevent.sleep(0)
except KeyboardInterrupt:
headset.close()
finally:
headset.close()
def getAlphaPower(buff, Ts = 1/128):
N = len(buff)
freq = np.fft.fftfreq(N,Ts)
Power = np.abs(np.fft(buff))**2
spectrum = zip(freq,Power)
alphalist = []
for (f,S) in spectrum:
if f>=8 and f<=12:
alphalist.append(S)
alpha = np.mean(alphalist)
return alpha
if __name__ == "__main__":
headset = Emotiv()
routine = gevent.spawn(headset.setup)
gevent.sleep(0)
try:
while True:
buffin = []
for i in xrange(128):
packet = headset.dequeue()
buffin.append(packet.sensors['F3']['value'])
#print packet.gyro_x, packet.gyro_y, packet.battery
gevent.sleep(0)
alpha = getAlphaPower(buffin)
print alpha
except KeyboardInterrupt:
headset.running = False
headset.close()
self.httpd = self.server_class(self.server_address, self.handler_class)
print time.asctime(), "Server Starts - %s:%s" % self.server_address
while self.run_server:
try:
self.httpd.handle_request()
except (KeyboardInterrupt, SystemExit):
self.stop()
raise
print time.asctime(), "Server Stops - %s:%s" % self.server_address
self.httpd.server_close();
if __name__ == "__main__":
emotiv = Emotiv(display_output=False)
server = HttpEEGDataProvider()
try:
print "starting server and emotiv"
t = threading.Thread(target=server.run)
t.start()
emotiv.setup()
print "closing server and emotiv"
emotiv.close()
server.stop()
except (KeyboardInterrupt, SystemExit) as e:
print e.getMessage()
emotiv.close()
server.stop()
def main():
"""
Creates pygame window and graph drawing workers for each sensor.
"""
global gheight
pygame.init()
screen = pygame.display.set_mode((1280, 800))
graphers = []
recordings = []
recording = False
record_packets = []
updated = False
cursor_x, cursor_y = 400, 300
#for name in 'AF3 F7 F3 FC5 T7 P7 O1 O2 P8 T8 FC6 F4 F8 AF4'.split(' '):
for name in 'AF4 P8 F4 T8 O2'.split(' '):
graphers.append(Grapher(screen, name, len(graphers)))
fullscreen = False
emotiv = Emotiv(display_output=True)
gevent.spawn(emotiv.setup)
gevent.sleep(0)
while emotiv.running:
for event in pygame.event.get():
if event.type == pygame.QUIT:
emotiv.close()
return
if event.type == pygame.KEYDOWN:
if event.key == pygame.K_ESCAPE:
emotiv.close()
return
elif event.key == pygame.K_f:
if fullscreen:
screen = pygame.display.set_mode((1280, 800))
fullscreen = False
else:
screen = pygame.display.set_mode((1280, 800), FULLSCREEN, 16)
fullscreen = True
elif event.key == pygame.K_r:
if not recording:
record_packets = []
recording = True
else:
recording = False
recordings.append(list(record_packets))
record_packets = None
packets_in_queue = 0
try:
while packets_in_queue < 8:
packet = emotiv.dequeue()
if abs(packet.gyro_x) > 1:
cursor_x = max(0, min(cursor_x, 1280))
cursor_x -= packet.gyro_x
if abs(packet.gyro_y) > 1:
cursor_y += packet.gyro_y
cursor_y = max(0, min(cursor_y, 800))
map(lambda x: x.update(packet), graphers)
if recording:
record_packets.append(packet)
updated = True
packets_in_queue += 1
except Exception, ex:
print ex
if updated:
screen.fill((75, 75, 75))
map(lambda x: x.draw(), graphers)
pygame.draw.rect(screen, (255, 255, 255), (cursor_x - 5, cursor_y - 5, 10, 10), 0)
pygame.display.flip()
updated = False
gevent.sleep(0)
height = screen.height
cursor_x, cursor_y = width / 2, height / 2
while True:
updated = False
packet = headset.dequeue()
if abs(packet.gyro_x) > 1:
cursor_x -= packet.gyro_x
updated = True
if abs(packet.gyro_y) > 1:
cursor_y += packet.gyro_y
updated = True
cursor_x = max(0, min(cursor_x, width))
cursor_y = max(0, min(cursor_y, height))
if updated:
screen.move_mouse(cursor_x, cursor_y)
gevent.sleep(0)
headset = None
if __name__ == "__main__":
try:
headset = Emotiv()
gevent.spawn(headset.setup)
gevent.sleep(0)
main()
finally:
if headset:
headset.close()
if(args.nogui):
guifeature = False
sensornames = 'AF3 F7 F3 FC5 T7 P7 O1 O2 P8 T8 FC6 F4 F8 AF4'.split(' ')
if guifeature:
# building the node connection display
pygame.init()
surface = pygame.display.set_mode((640, 480), 0, 32)
pygame.display.set_caption('Emotiv Epoc Callibration Test')
background = pygame.image.load(os.path.join('images','sensormap.png'))
surface.blit(background, (0,0))
pygame.display.flip()
print "Initializing controller..."
emotiv = Emotiv(displayOutput=False)
gevent.spawn(emotiv.setup)
gevent.sleep(1)
print "Controller initialized."
initOSCClient(args.ip, args.port)
print "Starting client."
# run forever
try:
running = True
while running:
if guifeature:
for event in pygame.event.get():
if event.type == QUIT:
curX, curY = width / 2, height / 2
while True:
updated = False
packet = emotiv.dequeue()
if abs(packet.gyroX) > 1:
curX -= packet.gyroX
updated = True
if abs(packet.gyroY) > 1:
curY += packet.gyroY
updated = True
curX = max(0, min(curX, width))
curY = max(0, min(curY, height))
if updated:
screen.move_mouse(curX, curY)
gevent.sleep(0)
emotiv = None
if __name__ == "__main__":
try:
emotiv = Emotiv()
gevent.spawn(emotiv.setup)
gevent.sleep(1)
main(*sys.argv[1:])
finally:
if emotiv:
emotiv.close()
class EEGRenderer():
def __init__(self, channels, gheight):
"""
Creates pygame window and graph drawing workers for each sensor.
"""
pygame.init()
self.screen = pygame.display.set_mode(resolution)
self.graphers = []
self.record_packets = []
self.fullscreen = False
self.recording = False
self.updated = False
self.middle_x, self.middle_y = resolution[0]/2, resolution[1]/2
for i, name in enumerate(channels):
self.graphers.append(Grapher(self.screen, gheight, name, i))
self.emotiv = Emotiv(display_output=False)
gevent.spawn(self.emotiv.setup)
gevent.sleep(0)
def handleEvents(self):
for event in pygame.event.get():
if event.type == pygame.QUIT:
self.emotiv.close()
return
if event.type == pygame.KEYDOWN:
if event.key == pygame.K_ESCAPE:
self.emotiv.close()
return
elif event.key == pygame.K_f:
if self.fullscreen:
self.screen = pygame.display.set_mode(resolution)
self.fullscreen = False
else:
self.screen = pygame.display.set_mode(resolution, FULLSCREEN, 16)
self.fullscreen = True
elif event.key == pygame.K_r:
if not self.recording:
self.record_packets = []
self.recording = True
else:
self.recording = False
self.recordings.append(list(self.record_packets))
self.record_packets = None
def update(self, cursor_x, cursor_y):
if self.updated:
self.screen.fill((75, 75, 75))
map(lambda x:x.draw(), self.graphers)
pygame.draw.rect(self.screen, (255, 0, 255), [cursor_x, cursor_y, 5, 5], 5)
pygame.display.flip()
self.updated = False
def main(self):
while self.emotiv.running:
self.handleEvents()
packets_in_queue = 0
try:
cursor_x, cursor_y = self.middle_x, self.middle_y
while packets_in_queue < 8:
packet = self.emotiv.dequeue()
if abs(packet.gyro_x) > 1:
cursor_x += packet.gyro_x-GYRO_DEFAULT
if abs(packet.gyro_y) > 1:
cursor_y += packet.gyro_y-GYRO_DEFAULT
map(lambda x: x.update(packet), self.graphers)
if self.recording:
self.record_packets.append(packet)
self.updated = True
packets_in_queue += 1
cursor_x = self.middle_x + cursor_x / packets_in_queue
cursor_y = self.middle_y + cursor_y / packets_in_queue
except (Exception, KeyboardInterrupt) as e:
raise e
self.update(cursor_x, cursor_y)
gevent.sleep(0)
