added my octave stuff
added my octave stuff
This commit is contained in:
26
franke/octave/functions.m
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26
franke/octave/functions.m
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display("functions")
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function win = window(vec, pos)
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pos = pos / 10;
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win = vec(pos-50:pos+50-1,:);
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end
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function flat = flatten(win)
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flat = reshape(win, rows(win)*columns(win), 1);
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end
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# extract several (windowed) samples from the given input vector
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function wins = getSamples(Gyro, Accel, Magnet, start, percent)
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wins = {};
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lengthMS = length(Magnet) * 10;
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pEnd = lengthMS * percent;
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for i = start:150:pEnd
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winGyro = window(Gyro, i);
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winAccel = window(Accel, i);
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winMagnet = window(Magnet, i);
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win = [winGyro winAccel];
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win = flatten(win);
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wins = [wins win];
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end
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end
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111
franke/octave/helper.m
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111
franke/octave/helper.m
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clear
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# load data
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#run /mnt/firma/kunden/HandyGames/daten/forwardbend/forwardbend_gl_3_subject_1_left.txt.m
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#run /mnt/firma/kunden/HandyGames/daten/kneebend/kneebend_gl_0_subject_0_right.txt.m
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function win = window(vec, pos)
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pos = pos / 10;
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win = vec(pos-25:pos+25-1,:);
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end
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function flat = flatten(win)
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flat = reshape(win, rows(win)*columns(win), 1);
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end
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function Q = getQ(gyro)
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R = zeros(150,150);
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m = zeros(150, 1);
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cnt = 0;
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for i = 1500:50:15000
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win = window(gyro, i);
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win = flatten(win);
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R += win*win';
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m += win;
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cnt = cnt + 1;
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end
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R = R / cnt;
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m = m / cnt;
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Q = R - m * m';
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end
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function C = getC(A, gyro)
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C = [];
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for i = 1500:100:6000
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win = window(gyro, i);
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win = flatten(win);
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c = A * win;
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C = [c C];
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end
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end
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run /mnt/firma/kunden/HandyGames/daten/forwardbend/forwardbend_gl_3_subject_1_left.txt.m
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Qforward = getQ(Gyro);
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run /mnt/firma/kunden/HandyGames/daten/kneebend/kneebend_gl_0_subject_0_right.txt.m
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Qkneebend = getQ(Gyro);
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run /mnt/firma/kunden/HandyGames/daten/pushups/pushups_gl_8_subject_4_right.txt.m
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Qpushups = getQ(Gyro);
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run /mnt/firma/kunden/HandyGames/daten/situps/situps_gl_12_subject_1_left.txt.m
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Qsitups = getQ(Gyro);
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run /mnt/firma/kunden/HandyGames/daten/jumpingjack/jumpingjack_gl_5_subject_3_left.txt.m
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Qjumpingjack = getQ(Gyro);
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Q = (Qforward + Qkneebend + Qpushups + Qsitups + Qjumpingjack) / 5;
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[eVec, eVal] = eigs(Q,2,'sm');
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A = eVec';
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#function [P2,D2] = sortEig(P, D, mode)
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# D2 = diag(sort(diag(D), mode));
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# [c,ind] = sort(diag(D), mode);
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# P2=P(:,ind);
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#end
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#[eVec, eVal] = eig(Q);
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#[eVec, eVal] = sortEig(eVec, eVal, 'descend');
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#A = eVec';
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hold on;
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run /mnt/firma/kunden/HandyGames/daten/forwardbend/forwardbend_gl_3_subject_1_left.txt.m
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C = getC(A, Gyro);
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plot(C(1,:)',C(2,:)', "+1")
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run /mnt/firma/kunden/HandyGames/daten/kneebend/kneebend_gl_0_subject_0_right.txt.m
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C = getC(A, Gyro);
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plot(C(1,:)',C(2,:)', ".2")
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run /mnt/firma/kunden/HandyGames/daten/pushups/pushups_gl_8_subject_4_right.txt.m;
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C = getC(A, Gyro);
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plot(C(1,:)',C(2,:)', ".3")
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run /mnt/firma/kunden/HandyGames/daten/situps/situps_gl_12_subject_1_left.txt.m
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C = getC(A, Gyro);
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plot(C(1,:)',C(2,:)', ".4")
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run /mnt/firma/kunden/HandyGames/daten/jumpingjack/jumpingjack_gl_5_subject_3_left.txt.m
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C = getC(A, Gyro);
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plot(C(1,:)',C(2,:)', ".5")
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hold off;
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208
franke/octave/helper2.m
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208
franke/octave/helper2.m
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clear
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source("training.m");
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# load data
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#run /mnt/firma/kunden/HandyGames/daten/forwardbend/forwardbend_gl_3_subject_1_left.txt.m
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#run /mnt/firma/kunden/HandyGames/daten/kneebend/kneebend_gl_0_subject_0_right.txt.m
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function C = getC(A, sensor)
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C = [];
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for i = 1:numel(sensor)
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c = A * (sensor{i});
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C = [c C];
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end
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end
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#function C = getC(A, gyro)
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# C = [];
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# for i = 1500:50:8000
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# win = window(gyro, i);
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# win = flatten(win);
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# c = A * win;
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# C = [c C];
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# end
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#end
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function cls = getClass(name)
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cls = {};
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cls.name = name;
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cls.samples = {};
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end
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function m = getM(samples)
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size = length(samples{1}); # length of the first entry(all have the same size)
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m = zeros(size,1); # allocate memory
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for i = 1 : length(samples)
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m += samples{i};
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end
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m /= length(samples);
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end
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function R = getR(samples)
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size = length(samples{1}); # length of the first entry(all have the same size)
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R = zeros(size,size); # allocate memory
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for i = 1 : length(samples)
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R += samples{i} * samples{i}';
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end
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R /= length(samples);
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end
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function Q = getQ1(classes)
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samples = {}
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for i = 1 : length(classes)
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samples = [samples classes{i}.samples];
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end
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m = getM(samples);
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R = getR(samples);
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Q = R - m*m';
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end
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function Q = getQ3(classes)
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size = length(classes{1}.samples{1});
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Q = zeros(size,size);
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for i = 1 : length(classes)
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m = getM(classes{i}.samples);
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R = getR(classes{i}.samples);
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Q += ( R - m*m' );
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end
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Q /= length(classes);
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end
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function Q = getQ2(classes)
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numClasses = length(classes);
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size = length(classes{1}.samples{1});
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sumR = zeros(size, size);
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sumM = zeros(size, size);
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for k = 1 : numClasses
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R = getR(classes{k}.samples);
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sumR += R;
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end
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for k = 2 : numClasses
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for l = 1 : k-1
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mk = getM(classes{k}.samples);
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ml = getM(classes{l}.samples);
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sumM += (mk*ml') + (ml*mk');
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end
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end
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sumM / (numClasses*(numClasses-1))
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Q = (sumR / numClasses) - (sumM / (numClasses*(numClasses-1)));
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end
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function plotC(C, args)
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plot3(C(1,:)', C(2,:)', C(3,:)', args);
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end
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function show(A)
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hold on;
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samples = 6;
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data = getSamplesForClass("forwardbend", samples, 1050, 0.8);
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C = getC(A, data);
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plotC(C, "-1");
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data = getSamplesForClass("kneebend", samples, 1050, 0.8);
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C = getC(A, data);
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plotC(C, "-2");
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data = getSamplesForClass("pushups", samples, 1050, 0.8);
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C = getC(A, data);
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plotC(C, "-3");
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data = getSamplesForClass("situps", samples, 1050, 0.8);
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C = getC(A, data);
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plotC(C, "-4");
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data = getSamplesForClass("jumpingjack", samples, 1050, 0.8);
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C = getC(A, data);
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plotC(C, "-5");
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hold off;
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end
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function avg = getAvg(classes)
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size = length(classes{1}.samples{1});
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avg = zeros(size,1);
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cnt = 0;
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for i = 1:numel(classes)
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for j = 1:numel(classes{i}.samples)
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avg += classes{i}.samples{j};
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++cnt;
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end
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end
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avg /= cnt;
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end
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function res = removeAvg(classes)
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size = length(classes{1}.samples{1});
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avg = getAvg(classes);
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for i = 1:numel(classes)
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for j = 1:numel(classes{i}.samples)
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classes{i}.samples{j} = classes{i}.samples{j} - avg;
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end
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end
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res = classes;
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end
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classes = {};
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classes{1}.samples = {};
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classes{2}.samples = {};
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classes{3}.samples = {};
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classes{1}.samples = [classes{1}.samples [1;2;3;4]];
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classes{1}.samples = [classes{1}.samples [1;2;4;5]];
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classes{2}.samples = [classes{2}.samples [3;8;9;0]];
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classes{2}.samples = [classes{2}.samples [3;7;5;0]];
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classes{3}.samples = [classes{3}.samples [9;1;3;2]];
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classes{3}.samples = [classes{3}.samples [7;3;3;2]];
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Q1 = getQ1(classes);
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Q2 = getQ2(classes);
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Q3 = getQ3(classes);
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Q1
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Q2
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Q3
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# get training dataset
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#classes = getTrainData();
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#classes = removeAvg(classes);
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#Q1 = getQ1(classes);
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#[eVec, eVal] = eigs(Q1, 3, 'lm');
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#Q2 = getQ2(classes);
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#[eVec, eVal] = eigs(Q2, 3, 'lm');
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#Q3 = getQ1(classes);
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#[eVec, eVal] = eigs(Q3, 3, 'sm');
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#avg = getAvg(classes);
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#A = eVec';
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#show(A, avg);
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5
franke/octave/settings.m
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5
franke/octave/settings.m
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display("settings")
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global setTrainRuns = 6;
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global setDataDir = "/mnt/firma/kunden/HandyGames/daten/";
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51
franke/octave/training.m
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51
franke/octave/training.m
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display("training");
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source("settings.m");
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source("functions.m");
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function files = getDataFiles(clsName, numPerClass)
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global setDataDir;
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global setTrainRuns;
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dir = strcat(setDataDir, clsName, "/");
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lst = readdir(dir);
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files = {};
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cnt = 0;
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for i = 1:numel(lst)
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filename = lst{i};
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if (regexp(filename, ".m$")) # use only files ending with .m
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file = strcat(dir, filename);
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files = [files file];
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++cnt;
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if (cnt >= numPerClass) # use only x input files
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break;
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endif
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endif
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end
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end
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function samples = getSamplesForClass(clsName, numPerClass, start, percent)
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files = getDataFiles(clsName, numPerClass);
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samples = {};
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for i = 1 : numel(files)
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source(files{i});
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samples = [samples getSamples(Gyro, Accel, Magnet, start, percent)]; # use gyro-sensor readings
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end
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display(strcat("training data for '", clsName, "': ", num2str(length(samples)), " samples"));
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end
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function data = getTrainData()
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global setTrainRuns;
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numPerClass = setTrainRuns;
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data = {};
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data{1}.samples = getSamplesForClass("forwardbend", numPerClass, 1500, 0.5);
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data{2}.samples = getSamplesForClass("kneebend", numPerClass, 1500, 0.5);
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data{3}.samples = getSamplesForClass("pushups", numPerClass, 1500, 0.5);
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data{4}.samples = getSamplesForClass("situps", numPerClass, 1500, 0.5);
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data{5}.samples = getSamplesForClass("jumpingjack", numPerClass, 1500, 0.5);
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end
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