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## mcdemo4.m ( File view )

From：mocaptoolbox
• By mountain 2013-11-27
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• Point(s)： 1
```			function mcdemo4
% This example shows how you can do various
% statistical analyses on time-series data
% using the functions provided in the MoCap
% toolbox
%
% The first statistical moments, mean, standard
% deviation, skewness, and kurtosis, can be calculated
% using the functions mcmean, mcstd, mcskewness,
% and mckurtosis, respectively. These functions
% ignore eventual missing frames.
%
pause %%%%%%%%%%% hit a key to continue %%%%%%%%%%%%%%%%%%%%%%%%%%
clc
% Let us calculate the standard deviations for the
% markers 1, 19, and 25 (head, hand, and foot) in
% the Mocap strcutures dance1 and dance2:

std1 = mcstd(mcgetmarker(dance1, [1 19 25]));
std2 = mcstd(mcgetmarker(dance2, [1 19 25]));
figure, set(gcf,'Position',[40 200 560 420])
subplot(2,1,1)
bar(reshape(std1,3,3)), xlabel('Dimension')
legend('Head', 'Hand', 'Foot'), axis([-Inf Inf 0 400])
title('dance1')
subplot(2,1,2)
bar(reshape(std2,3,3)), xlabel('Dimension')
legend('Head', 'Hand', 'Foot'), axis([-Inf Inf 0 400])
title('dance2')

% The standard deviations for the dimensions 1 and 2
% are larger for dance1 than for dance2, suggesting that
% dancer 1 occupies a larger area horizontally. The standard
% deviation for dimension 3 for the hand marker is larger for
% dance1, suggesting that dancer 1 uses larger vertical hand
% movements.

pause %%%%%%%%%%% hit a key to continue %%%%%%%%%%%%%%%%%%%%%%%%%%
clc
% Let us calculate and plot the skewness values for the vertical
% dimension of selected markers for dance1, dance2, walk1 and walk2.

marker = [1 9 19 21 25];
d1skew = mcskewness(mcgetmarker(dance1, marker));
w1skew = mcskewness(mcgetmarker(walk1, marker));
d2skew = mcskewness(mcgetmarker(dance2, marker));
w2skew = mcskewness(mcgetmarker(walk2, marker));
mn = mcgetmarkername(dance1);
subplot(2,2,1)
bar(d1skew(3:3:end)), set(gca,'XTickLabel', [mn{
marker
}])
title('dance1'), axis([-Inf Inf -2 3])
subplot(2,2,2)
bar(d2skew(3:3:end)), set(gca,'XTickLabel', [mn{
marker
}])
title('dance2'), axis([-Inf Inf -2 3])
subplot(2,2,3)
bar(w1skew(3:3:end)), set(gca,'XTickLabel', [mn{
marker
}])
title('walk1'), axi
...
...
```
...
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MCT_manual_v1.4.pdf1.92 MB2013-02-12|04:00
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mcdemo.m1.82 kB2011-10-14|09:29
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mcdemo11.m1.87 kB2012-04-12|08:04
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mcdemo3.m3.46 kB2013-02-11|13:20
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mcdemo7.m1.38 kB2008-05-21|00:20
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mcdemo9.m2.86 kB2013-01-29|07:56
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mcdemodata.mat1.27 MB2012-04-16|04:59
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mcfilteremg.m1.32 kB2011-10-18|09:43
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mcgetmarker.m1.29 kB2013-02-11|04:25
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mcgetmarkername.m582.00 B2011-10-17|11:43
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mchilbert.m1.01 kB2011-10-17|11:48
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mchilberthuang.m1.43 kB2011-10-18|07:57
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mcicaproj.m1.59 kB2011-10-18|07:54
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mcinitanimpar.m2.73 kB2011-11-01|11:54
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mcinitj2spar.m675.00 B2011-10-17|10:24
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mcinitm2jpar.m643.00 B2011-10-17|10:24
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mcinitstruct.m3.75 kB2011-10-18|09:28
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mcj2s.m2.20 kB2011-10-17|12:28
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mckurtosis.m791.00 B2011-10-17|12:24
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mcm2j.m1.08 kB2011-10-17|12:28
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mcnorm.m830.00 B2011-10-18|07:41
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mcpcaproj.m2.76 kB2013-02-12|03:16
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mcperiod.m3.21 kB2013-02-12|03:16
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mcplotphaseplane.m3.38 kB2011-10-18|07:26
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mcplottimeseries.m17.26 kB2013-01-29|08:36
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mcplottimeseries_dep.m6.72 kB2013-01-29|08:35
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mcpotenergy.m1.69 kB2011-10-18|03:23
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mcresample.m951.00 B2011-10-17|13:01
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mcrotate.m2.50 kB2011-10-18|03:36
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mcsmoothen.m3.43 kB2011-10-17|13:17
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mcspectrum.m1.83 kB2011-10-18|02:53
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mcstatmoments.m707.00 B2011-10-19|08:56
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mcstd.m649.00 B2011-10-19|08:55
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mctimeder.m6.67 kB2012-04-12|08:39
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01.97 kB
.DS_Store6.00 kB2012-04-12|09:26
01.97 kB
._.DS_Store193.00 B2012-04-12|09:26
dir2quat.m568.00 B2008-01-17|18:16
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initemptymc.mat127.62 kB2009-11-29|17:45
makecolumn.m257.00 B2007-09-11|13:58
mcica.m1.04 kB2010-05-07|03:59
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mcpca.m829.00 B2008-12-10|13:09
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mypca.m507.00 B2008-10-21|15:46
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qinv.m106.00 B2008-01-17|18:02
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smoothderiv.m390.00 B2006-05-21|13:26
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validfield.m464.00 B2007-04-30|11:04
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releasenotes_v1.4.txt5.74 kB2013-02-12|03:10
._releasenotes_v1.4.txt171.00 B2013-02-12|03:10
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### mcdemo4.m (3.10 MB)

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