def save():
global data
buf_size = int(save_length_ms / 1000.0 * sample_rate)
for packets in thinkgear.ThinkGearProtocol(PORT).get_packets():
for p in packets:
if not isinstance(p, thinkgear.ThinkGearRawWaveData):
print p
continue
with data_lock:
data.insert(0, p.value)
if buf_size < len(data): data.pop()
def _start_reading(self, callback):
while True:
try:
for pkt in thinkgear.ThinkGearProtocol(
'/dev/rfcomm0').get_packets():
for d in pkt:
if isinstance(d, thinkgear.ThinkGearAttentionData):
current_value = int(d.value)
if not callback(current_value):
return
except:
sleep(5)
pass
def work(output_file, measurement_time):
signal = Signal(output_file=output_file, measurement_time=measurement_time)
is_end = False
for packets in thinkgear.ThinkGearProtocol(PORT).get_packets():
for packet in packets:
if isinstance(packet, thinkgear.ThinkGearRawWaveData):
continue
signal.store(str(packet))
if signal.check_stored():
signal.output()
is_end = signal.check_end()
if is_end:
break
def __init__(self, port, debug=True, attention=False, meditation=False) :
self.img = make_img()
cv2.namedWindow(WINDOWNAME)
cv2.setMouseCallback(WINDOWNAME, self.click)
self.DEBUG = debug
self.ATTENTION = attention
self.MEDITATION = meditation
self.label = np.array(["Unix", "TimeStamp", "Delta", "Theta", "Low_Alfa", "High_Alfa", "Low_Beta", "High_Beta", "Low_Gamma", "Mid_Gamma"])
if attention :
self.label = np.append(self.label, "Attention")
if meditation :
self.label = np.append(self.label, "Meditation")
self.param = {"port":port, "debug":debug, "attention":attention, "meditation":meditation}
if debug :
print(self.param)
self.brain = np.zeros([1, self.label.shape[0]])
self.th = thinkgear.ThinkGearProtocol(port) # 接続
self.think = self.th.get_packets()
print(self.think)
# 環境
# macOs Mojave
# python 2.7.13
# 手順
# 1. python に thinkgear,pyserial(シリアル通信を行うためのライブラリ)をインストール
# $pip install thinkgear
# $pip install pyserial
# 2. ThinkGear ConnectorをPCにインストール
# http://developer.neurosky.com/docs/doku.php?id=thinkgear_connector_tgc
# 3. ThinkGear Connectorを起動
# 4. ターミナルで $ls /dev/tty.* で /dev/tty.MindWaveMobile-SerialPo が表示されていることを確認
# 5. サンプルコードで脳波を取得できる
#mindwaveの接続
import thinkgear
PORT = "COM5" #'/dev/tty.MindWaveMobile-SerialPo'
for packets in thinkgear.ThinkGearProtocol(PORT).get_packets():
for p in packets:
if isinstance(p, thinkgear.ThinkGearRawWaveData):
continue
print(p)
print x
def is_attention(pkt_t):
flag = False
if AT_THRESHOLD <= int(get_attention_data(pkt_t)):
flag = True
return flag
def get_attention_data(pkt_t):
if pkt_t != '' and "ATTENTION" in pkt_t:
at_num = re.search(r'\d+', pkt_t)
return at_num.group()
return 0
if __name__ == "__main__":
mindwave_obj = tg.ThinkGearProtocol(PORT)
shatter_flag = 0
for packets in mindwave_obj.get_packets():
for pkt in packets:
if isinstance(pkt, tg.ThinkGearRawWaveData):
continue
print(get_attention_data(str(pkt)))
if is_attention(str(pkt)) and shatter_flag == 0:
print 'kacha'
shatter_flag = 1
# ここで写真取る
else:
shatter_flag = 0
import thinkgear
from setting import MINDWAVE_PORT
import csv
from datetime import datetime, time
PORT = MINDWAVE_PORT
with open('data/2120050/6-4.csv', 'w') as csvfile:
w = csv.writer(csvfile, lineterminator='\n')
for packets in thinkgear.ThinkGearProtocol(
"/dev/tty.MindWaveMobile-SerialPo").get_packets():
for p in packets:
if isinstance(p, thinkgear.ThinkGearRawWaveData):
print p
now = datetime.now().time()
w.writerow([now.isoformat(), p])
else:
continue
def brain_init() :
self.th = thinkgear.ThinkGearProtocol(PORT)
self.think = self.th.get_packets()
print("Connect BrainWave")
#Raw Dataの取得
import thinkgear
PORT = 'COM5' #'/dev/tty.MindWaveMobile-SerialPo'
for packets in thinkgear.ThinkGearProtocol(PORT)._read(100):
#print (packets)
for p in packets:
if isinstance(p, thinkgear.ThinkGearRawWaveData):
print('true')
print(p)
