'name': "right lateral hip angle" }) if is_accurate(left_shoulder.confidence, left_hip.confidence,left_hip.confidence, left_knee.confidence): angle = computeAngle(left_shoulder_point, left_hip_point, left_hip_point, left_knee_point) standing_accuracy.append({ 'weight': 25, 'angle': angle, 'proper_angle': 173, 'threshold': 20, 'name': "left lateral hip angle" }) if len(standing_accuracy) >= 3: #acc = calc_accuracy(standing_accuracy) accuracy0 = getAccuracy(standing_accuracy) # if acc > 55: # position = 0 # Standing #print "Accuracy standing: ", accuracy0, "with key angles \n", #standing_key_angles[0], "-",standing_key_angles[1], "-",standing_key_angles[2], "-",standing_key_angles[3] #for angle in standing_key_angles: print " ",angle, " - " if accuracy0 > 0.5 and right_foot.confidence == 1 and left_foot.confidence ==1 and math.fabs(right_foot_point[1]-left_foot_point[1])<35: #SHOULD BE AT LEAST, SEEN FROM ONE SIDE, 0.5!! #position = 0 # Standing posture = "standing" #print "Accuracy standing ", accuracy0 ####################################################### # kinect.SkeletonStream.TrackingMode = SkeletonTrackingMode.Seated; // Use Seated Mode in Kinect for windows # To access the current setting of the pipeline, you can read the TrackingMode again. # private void kinect_SkeletonFrameReady(object sender, SkeletonFrameReadyEventArgs e)
from openni import * #import time from skeleton_extension import limb_angle, print_if_accurate, is_accurate, calc_accuracy, getAccuracy standing_accuracy = [] # TODO: FRANK : CONSIDERED WAIST NODE FOR BETTER ACCURACY THAN TORSO? -WAIST JOINT DOESNT WORK? standing_accuracy.append({ 'weight': 25, 'angle': 190,#limb_angle(left_hip_point, left_knee_point, left_foot_point), 'proper_angle': 180, 'threshold': 25 }) for function in accuracy = getAccuracy(standing_accuracy) # if acc > 55: # position = 0 # Standing #print "Accuracy standing: ", accuracy0 if accuracy0 >= 0.3: #SHOULD BE AT LEAST, SEEN FROM ONE SIDE, 0.5!! #position = 0 # Standing posture = "standing" #print "Accuracy standing >=0.5", accuracy0
if is_accurate(left_shoulder.confidence, left_hip.confidence, left_hip.confidence, left_knee.confidence): angle = computeAngle(left_shoulder_point, left_hip_point, left_hip_point, left_knee_point) standing_accuracy.append({ 'weight': 25, 'angle': angle, 'proper_angle': 173, 'threshold': 20, 'name': "left lateral hip angle" }) if len(standing_accuracy) >= 3: #acc = calc_accuracy(standing_accuracy) accuracy0 = getAccuracy(standing_accuracy) # if acc > 55: # position = 0 # Standing #print "Accuracy standing: ", accuracy0, "with key angles \n", #standing_key_angles[0], "-",standing_key_angles[1], "-",standing_key_angles[2], "-",standing_key_angles[3] #for angle in standing_key_angles: print " ",angle, " - " if accuracy0 > 0.5 and right_foot.confidence == 1 and left_foot.confidence == 1 and math.fabs( right_foot_point[1] - left_foot_point[1] ) < 35: #SHOULD BE AT LEAST, SEEN FROM ONE SIDE, 0.5!! #position = 0 # Standing posture = "standing" #print "Accuracy standing ", accuracy0 ####################################################### # kinect.SkeletonStream.TrackingMode = SkeletonTrackingMode.Seated; // Use Seated Mode in Kinect for windows # To access the current setting of the pipeline, you can read the TrackingMode again.
}) if is_accurate(torso.confidence, left_hip.confidence, left_knee.confidence): standing_accuracy.append({ 'weight': 25, 'angle': limb_angle(torso_point, left_hip_point, left_knee_point), 'proper_angle': 180, 'threshold': 20 }) #pp = pprint.PrettyPrinter(indent=4) #pp.pprint(sitting_accuracy) #print calc_accuracy(sitting_accuracy) if len(standing_accuracy) >= 2: acc = calc_accuracy(standing_accuracy) accuracy0 = getAccuracy(standing_accuracy) # if acc > 55: # position = 0 # Standing if accuracy0 >= 0.5: #SHOULD BE AT LEAST, SEEN FROM ONE SIDE, 0.5!! position = 0 # Standing posture = "standing" print "Accuracy standing >0.5", accuracy0 ####################################################### sitting_accuracy = [] if is_accurate(left_hip.confidence, left_knee.confidence, left_foot.confidence): sitting_accuracy.append({