added my octave stuff

added my octave stuff
This commit is contained in:
2016-01-02 13:46:34 +01:00
parent 74b55c0619
commit b58fb8f27b
5 changed files with 401 additions and 0 deletions

26
franke/octave/functions.m Normal file
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display("functions")
function win = window(vec, pos)
pos = pos / 10;
win = vec(pos-50:pos+50-1,:);
end
function flat = flatten(win)
flat = reshape(win, rows(win)*columns(win), 1);
end
# extract several (windowed) samples from the given input vector
function wins = getSamples(Gyro, Accel, Magnet, start, percent)
wins = {};
lengthMS = length(Magnet) * 10;
pEnd = lengthMS * percent;
for i = start:150:pEnd
winGyro = window(Gyro, i);
winAccel = window(Accel, i);
winMagnet = window(Magnet, i);
win = [winGyro winAccel];
win = flatten(win);
wins = [wins win];
end
end

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franke/octave/helper.m Normal file
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clear
# load data
#run /mnt/firma/kunden/HandyGames/daten/forwardbend/forwardbend_gl_3_subject_1_left.txt.m
#run /mnt/firma/kunden/HandyGames/daten/kneebend/kneebend_gl_0_subject_0_right.txt.m
function win = window(vec, pos)
pos = pos / 10;
win = vec(pos-25:pos+25-1,:);
end
function flat = flatten(win)
flat = reshape(win, rows(win)*columns(win), 1);
end
function Q = getQ(gyro)
R = zeros(150,150);
m = zeros(150, 1);
cnt = 0;
for i = 1500:50:15000
win = window(gyro, i);
win = flatten(win);
R += win*win';
m += win;
cnt = cnt + 1;
end
R = R / cnt;
m = m / cnt;
Q = R - m * m';
end
function C = getC(A, gyro)
C = [];
for i = 1500:100:6000
win = window(gyro, i);
win = flatten(win);
c = A * win;
C = [c C];
end
end
run /mnt/firma/kunden/HandyGames/daten/forwardbend/forwardbend_gl_3_subject_1_left.txt.m
Qforward = getQ(Gyro);
run /mnt/firma/kunden/HandyGames/daten/kneebend/kneebend_gl_0_subject_0_right.txt.m
Qkneebend = getQ(Gyro);
run /mnt/firma/kunden/HandyGames/daten/pushups/pushups_gl_8_subject_4_right.txt.m
Qpushups = getQ(Gyro);
run /mnt/firma/kunden/HandyGames/daten/situps/situps_gl_12_subject_1_left.txt.m
Qsitups = getQ(Gyro);
run /mnt/firma/kunden/HandyGames/daten/jumpingjack/jumpingjack_gl_5_subject_3_left.txt.m
Qjumpingjack = getQ(Gyro);
Q = (Qforward + Qkneebend + Qpushups + Qsitups + Qjumpingjack) / 5;
[eVec, eVal] = eigs(Q,2,'sm');
A = eVec';
#function [P2,D2] = sortEig(P, D, mode)
# D2 = diag(sort(diag(D), mode));
# [c,ind] = sort(diag(D), mode);
# P2=P(:,ind);
#end
#[eVec, eVal] = eig(Q);
#[eVec, eVal] = sortEig(eVec, eVal, 'descend');
#A = eVec';
hold on;
run /mnt/firma/kunden/HandyGames/daten/forwardbend/forwardbend_gl_3_subject_1_left.txt.m
C = getC(A, Gyro);
plot(C(1,:)',C(2,:)', "+1")
run /mnt/firma/kunden/HandyGames/daten/kneebend/kneebend_gl_0_subject_0_right.txt.m
C = getC(A, Gyro);
plot(C(1,:)',C(2,:)', ".2")
run /mnt/firma/kunden/HandyGames/daten/pushups/pushups_gl_8_subject_4_right.txt.m;
C = getC(A, Gyro);
plot(C(1,:)',C(2,:)', ".3")
run /mnt/firma/kunden/HandyGames/daten/situps/situps_gl_12_subject_1_left.txt.m
C = getC(A, Gyro);
plot(C(1,:)',C(2,:)', ".4")
run /mnt/firma/kunden/HandyGames/daten/jumpingjack/jumpingjack_gl_5_subject_3_left.txt.m
C = getC(A, Gyro);
plot(C(1,:)',C(2,:)', ".5")
hold off;

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franke/octave/helper2.m Normal file
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clear
source("training.m");
# load data
#run /mnt/firma/kunden/HandyGames/daten/forwardbend/forwardbend_gl_3_subject_1_left.txt.m
#run /mnt/firma/kunden/HandyGames/daten/kneebend/kneebend_gl_0_subject_0_right.txt.m
function C = getC(A, sensor)
C = [];
for i = 1:numel(sensor)
c = A * (sensor{i});
C = [c C];
end
end
#function C = getC(A, gyro)
# C = [];
# for i = 1500:50:8000
# win = window(gyro, i);
# win = flatten(win);
# c = A * win;
# C = [c C];
# end
#end
function cls = getClass(name)
cls = {};
cls.name = name;
cls.samples = {};
end
function m = getM(samples)
size = length(samples{1}); # length of the first entry(all have the same size)
m = zeros(size,1); # allocate memory
for i = 1 : length(samples)
m += samples{i};
end
m /= length(samples);
end
function R = getR(samples)
size = length(samples{1}); # length of the first entry(all have the same size)
R = zeros(size,size); # allocate memory
for i = 1 : length(samples)
R += samples{i} * samples{i}';
end
R /= length(samples);
end
function Q = getQ1(classes)
samples = {}
for i = 1 : length(classes)
samples = [samples classes{i}.samples];
end
m = getM(samples);
R = getR(samples);
Q = R - m*m';
end
function Q = getQ3(classes)
size = length(classes{1}.samples{1});
Q = zeros(size,size);
for i = 1 : length(classes)
m = getM(classes{i}.samples);
R = getR(classes{i}.samples);
Q += ( R - m*m' );
end
Q /= length(classes);
end
function Q = getQ2(classes)
numClasses = length(classes);
size = length(classes{1}.samples{1});
sumR = zeros(size, size);
sumM = zeros(size, size);
for k = 1 : numClasses
R = getR(classes{k}.samples);
sumR += R;
end
for k = 2 : numClasses
for l = 1 : k-1
mk = getM(classes{k}.samples);
ml = getM(classes{l}.samples);
sumM += (mk*ml') + (ml*mk');
end
end
sumM / (numClasses*(numClasses-1))
Q = (sumR / numClasses) - (sumM / (numClasses*(numClasses-1)));
end
function plotC(C, args)
plot3(C(1,:)', C(2,:)', C(3,:)', args);
end
function show(A)
hold on;
samples = 6;
data = getSamplesForClass("forwardbend", samples, 1050, 0.8);
C = getC(A, data);
plotC(C, "-1");
data = getSamplesForClass("kneebend", samples, 1050, 0.8);
C = getC(A, data);
plotC(C, "-2");
data = getSamplesForClass("pushups", samples, 1050, 0.8);
C = getC(A, data);
plotC(C, "-3");
data = getSamplesForClass("situps", samples, 1050, 0.8);
C = getC(A, data);
plotC(C, "-4");
data = getSamplesForClass("jumpingjack", samples, 1050, 0.8);
C = getC(A, data);
plotC(C, "-5");
hold off;
end
function avg = getAvg(classes)
size = length(classes{1}.samples{1});
avg = zeros(size,1);
cnt = 0;
for i = 1:numel(classes)
for j = 1:numel(classes{i}.samples)
avg += classes{i}.samples{j};
++cnt;
end
end
avg /= cnt;
end
function res = removeAvg(classes)
size = length(classes{1}.samples{1});
avg = getAvg(classes);
for i = 1:numel(classes)
for j = 1:numel(classes{i}.samples)
classes{i}.samples{j} = classes{i}.samples{j} - avg;
end
end
res = classes;
end
classes = {};
classes{1}.samples = {};
classes{2}.samples = {};
classes{3}.samples = {};
classes{1}.samples = [classes{1}.samples [1;2;3;4]];
classes{1}.samples = [classes{1}.samples [1;2;4;5]];
classes{2}.samples = [classes{2}.samples [3;8;9;0]];
classes{2}.samples = [classes{2}.samples [3;7;5;0]];
classes{3}.samples = [classes{3}.samples [9;1;3;2]];
classes{3}.samples = [classes{3}.samples [7;3;3;2]];
Q1 = getQ1(classes);
Q2 = getQ2(classes);
Q3 = getQ3(classes);
Q1
Q2
Q3
# get training dataset
#classes = getTrainData();
#classes = removeAvg(classes);
#Q1 = getQ1(classes);
#[eVec, eVal] = eigs(Q1, 3, 'lm');
#Q2 = getQ2(classes);
#[eVec, eVal] = eigs(Q2, 3, 'lm');
#Q3 = getQ1(classes);
#[eVec, eVal] = eigs(Q3, 3, 'sm');
#avg = getAvg(classes);
#A = eVec';
#show(A, avg);

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franke/octave/settings.m Normal file
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display("settings")
global setTrainRuns = 6;
global setDataDir = "/mnt/firma/kunden/HandyGames/daten/";

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franke/octave/training.m Normal file
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display("training");
source("settings.m");
source("functions.m");
function files = getDataFiles(clsName, numPerClass)
global setDataDir;
global setTrainRuns;
dir = strcat(setDataDir, clsName, "/");
lst = readdir(dir);
files = {};
cnt = 0;
for i = 1:numel(lst)
filename = lst{i};
if (regexp(filename, ".m$")) # use only files ending with .m
file = strcat(dir, filename);
files = [files file];
++cnt;
if (cnt >= numPerClass) # use only x input files
break;
endif
endif
end
end
function samples = getSamplesForClass(clsName, numPerClass, start, percent)
files = getDataFiles(clsName, numPerClass);
samples = {};
for i = 1 : numel(files)
source(files{i});
samples = [samples getSamples(Gyro, Accel, Magnet, start, percent)]; # use gyro-sensor readings
end
display(strcat("training data for '", clsName, "': ", num2str(length(samples)), " samples"));
end
function data = getTrainData()
global setTrainRuns;
numPerClass = setTrainRuns;
data = {};
data{1}.samples = getSamplesForClass("forwardbend", numPerClass, 1500, 0.5);
data{2}.samples = getSamplesForClass("kneebend", numPerClass, 1500, 0.5);
data{3}.samples = getSamplesForClass("pushups", numPerClass, 1500, 0.5);
data{4}.samples = getSamplesForClass("situps", numPerClass, 1500, 0.5);
data{5}.samples = getSamplesForClass("jumpingjack", numPerClass, 1500, 0.5);
end