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loadKinectData_stats.m
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loadKinectData_stats.m
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%{
i=0: NUI_SKELETON_POSITION_HIP_
CENTER
i=1: NUI_SKELETON_POSITION_SPINE
i=2: NUI_SKELETON_POSITION_SHOULDER_CENTER
i=3: NUI_SKELETON_POSITION_HEAD
i=4: NUI_SKELETON_POSITION_SHOULDER_LEFT
i=5: NUI_SKELETON_POSITION_ELBOW_LEFT
i=6: NUI_SKELETON_POSITION_WRIST_LEFT
i=7: NUI_SKELETON_POSITION_HAND_LEFT
i=8: NUI_SKELETON_POSITION_SHOULDER_RIGHT
i=9: NUI_SKELETON_POSITION_ELBOW_RIGHT
i=10: NUI_SKELETON_POSITION_WRIST_RIGHT
i=11: NUI_SKELETON_POSITION_HAND_RIGHT
i=12: NUI_SKELETON_POSITION_HIP_LEFT
i=13: NUI_SKELETON_POSITION_KNEE_LEFT
i=14: NUI_SKELETON_POSITION_ANKLE_LEFT
i=15: NUI_SKELETON_POSITION_FOOT_LEFT
i=16: NUI_SKELETON_POSITION_HIP_RIGHT
i=17: NUI_SKELETON_POSITION_KNEE_RIGHT
i=18: NUI_SKELETON_POSITION_ANKLE_RIGHT
i=19: NUI_SKELETON_POSITION_FOOT_RIGHT
Remember matlab index start at 1.
Joint needed = (i+1)*4 // For z value of left hand
%}
%
function [finalM] =loadKinectData_stats(root_folder)
d = dir([root_folder, 'kin*.txt']);
col = zeros(20,1);
finalM = [];
for j = 1:length(d)
ifp1 = fopen([root_folder,d(j).name],'r');
while 1
%Read whole file into s
s= fgets(ifp1);
if s == -1
break;
end
%Each a is 80 data points: Inferred,x,y,z,
a = sscanf(s(find(s == ' ') + 1:end),'%f');
%cla
cnt = 1;
for i=1:4:length(a)
col(cnt) = a(i);
cnt = cnt + 1;
end
finalM = [finalM, col];
end
fclose(ifp1);
end