def run(self):
global persons
global persons_name
global current_emotion_value
global name_timeline
global Tr_matrix
global pub_vis
value = [0] * 7
estimation_s = ['angry','disgust','fear','happy','sad','surprise','quiet']
msg_time = Bayesian()
while True:
time.sleep(0.2)
for num in range(0,persons):
current_time = time.time() - name_timeline[persons_name[num]]
if current_time > 3:
for var in range(0,7):
for var2 in range(0,7):
value[var] += Tr_matrix[estimation_s[var2]][estimation_s[var]] * current_emotion_value[persons_name[num]][estimation_s[var2]]
all = 0
for var in range(0,7):
all += value[var]
for var in range(0,7):
current_emotion_value[persons_name[num]][estimation_s[var]] = value[var] / all
print current_emotion_value[persons_name[num]]
name_timeline[persons_name[num]] = time.time()
msg_time.estimation_value = [0] * 7
#msg_time.emotion = now_emo
msg_time.name = persons_name[num]
for var in range(0,7):
msg_time.estimation_value[var] = current_emotion_value[persons_name[num]][estimation_s[var]]
print "update"
pub_vis.publish(msg_time)
def pub_info(name,now_emo,estimation_s):
global current_emotion_value
global pub
global pub_vis
msg = Bayesian()
msg.estimation_value = [0] * 7
msg.emotion = now_emo
msg.name = name
for var in range(0,7):
msg.estimation_value[var] = current_emotion_value[name][estimation_s[var]]
time.sleep(0.4)
pub.publish(msg)
pub_vis.publish(msg)
