chanHist = [[0 for x in range(0)] for x in range(6)]
N = 128 #We always take 128 chunks so we get to slighly above 60hz
T = 1.0 / (N * 1
) # We know that the emotive delivers 128 samples persecond
count = 0
try:
while True:
packet = headset.dequeue()
cCount = 0
for k, v in packet.sensors.iteritems():
if ((k in SENSOR_LIST) and ('value' in v)
and ('quality' in v)):
chanHist[cCount].append(v['value'])
cCount += 1
mOscMessage.clear("/emokit/" + k + "/")
mOscMessage.append(v['value'])
mOscMessage.append(v['quality'])
mOscClient.send(mOscMessage)
count += 1
if count >= N:
for i in range(0, len(chanHist)):
output = [1 for x in range(8)]
norm = [1 for x in range(8)]
yf = np.abs(scipy.fftpack.fft(chanHist[i]))
n = len(chanHist[i])
freq = np.fft.fftfreq(n, T)
xf = np.linspace(0.0, 1.0 / (2.0 * T), N / 2)
j = 2
while freq[j + 1] > freq[j]:
# delta 0.5 - 3 hz
import gevent
OSC_OUT_HOST = "localhost"
OSC_OUT_PORT = 8444
SENSOR_LIST = 'AF3 F7 F3 FC5 T7 P7 O1 O2 P8 T8 FC6 F4 F8 AF4'
if __name__ == "__main__":
mOscClient = OSCClient()
mOscClient.connect( (OSC_OUT_HOST,OSC_OUT_PORT) )
mOscMessage = OSCMessage()
headset = Emotiv(serial_number="SN201405232628GM", vendor_id=8609, product_id=1)
gevent.spawn(headset.setup)
gevent.sleep(0)
try:
while True:
packet = headset.dequeue()
for k,v in packet.sensors.iteritems():
if ((k in SENSOR_LIST) and ('value' in v) and ('quality' in v)):
mOscMessage.clear("/emokit/"+k+"/")
mOscMessage.append(v['value'])
mOscMessage.append(v['quality'])
mOscClient.send(mOscMessage)
gevent.sleep(0)
except KeyboardInterrupt:
headset.close()
finally:
headset.close()
gevent.spawn(headset.setup)
gevent.sleep(0)
chanHist = [[0 for x in range(0)] for x in range(6)]
N = 128 #We always take 128 chunks so we get to slighly above 60hz
T = 1.0 / (N*1) # We know that the emotive delivers 128 samples persecond
count=0
try:
while True:
packet = headset.dequeue()
cCount=0
for k,v in packet.sensors.iteritems():
if ((k in SENSOR_LIST) and ('value' in v) and ('quality' in v)):
chanHist[cCount].append(v['value'])
cCount += 1
mOscMessage.clear("/emokit/"+k+"/")
mOscMessage.append(v['value'])
mOscMessage.append(v['quality'])
mOscClient.send(mOscMessage)
count += 1
if count >=N:
for i in range(0,len(chanHist)):
output=[1 for x in range(4)]
norm=[1 for x in range(4)]
yf = np.abs(scipy.fftpack.fft(chanHist[i]))
n = len(chanHist[i])
freq = np.fft.fftfreq(n, T)
xf = np.linspace(0.0, 1.0/(2.0*T), N/2)
j=2
while freq[j+1]>freq[j] :
if round(freq[j])>4 and round(freq[j])<7 :
print('concentrated')
else:
print('distracted')
if (b == [1.]):
print('lda concentrated')
else:
print('lda distracted')
k = OSCMessage('/vol')
l = OSCMessage('/lda')
print(int(a[0]))
if (a == [1.]):
k.append(1)
else:
k.append(2)
client.send(k)
k.clear()
time.sleep(3)
#client.send( OSCMessage("/vol", a) )
#client.send_message("/third", ok[i])
#client.send_message("/rev", ok[i])
#print(pfds)
#print(dfas)
#print(hursts)
print(bins)
