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Copy pathselected_data_split_expressions_spectrogram_v1.m
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selected_data_split_expressions_spectrogram_v1.m
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clc;
clear;
warning off
time_file = 'D:\LabWork\espression_test\all_expression_time_stemp.csv';
select_data_path = 'D:\LabWork\espression_test\select_data';
fileType = '*.csv';
dd = dir(fullfile(select_data_path, fileType));
fileNames = {dd.name};
num = numel(fileNames);
whole_file = csvread(time_file);
time_mtrx = whole_file(1:20, 2:47);
loop_selection = whole_file(49: 69, 2: 7);
data = cell(num, 2);
data(:,1) = regexprep(fileNames, '.csv','');
znorm_q1_filter = cell(num, 1);
znorm_q2_filter = cell(num, 1);
scale_range = 1:100;
%
% for i = 1: 15
% for n = 1:7
% frame_length(i, n) = time_mtrx(i, 2*n) - time_mtrx(i, 2*n-1);
% end
% end
for file_num = 1: numel(fileNames)
data{file_num, 2} = dlmread(fullfile(select_data_path, fileNames{file_num}));
fprintf('reading q sensor data\n');
q1_data = data{file_num, 2}(:, 4);
q2_data = data{file_num, 2}(:, 7);
[znorm_q1, mu_q1, sigma_q1] = zscore(q1_data);
[znorm_q2, mu_q2, sigma_q2] = zscore(q2_data);
fprintf('Znorm done for subject %d on both sensors\n', file_num);
znorm_q1_filter{file_num} = medfilt1(znorm_q1.', 20);
znorm_q2_filter{file_num} = medfilt1(znorm_q2.', 20);
start_frame = 0;
end_frame = 0;
for expression_num = 1:6
switch expression_num
case 1
expression = 'Neutral';
case 2
expression = 'Smile_1';
case 3
expression = 'Smile_2';
case 4
expression = 'Smile_3';
case 5
expression = 'Negative';
otherwise
expression = 'Hat';
end
mkdir('D:\LabWork\espression_test\Expression', sprintf('Expression_%s', expression));
fprintf('Loading expression %d data\n', expression_num);
loop_num = loop_selection(file_num + 1, expression_num);
if loop_num ~= 0;
for i = 1:loop_num
start_frame = time_mtrx(file_num, i * 2 - 1);
end_frame = time_mtrx(file_num, i * 2);
expression_m_q1_plot = znorm_q1_filter{file_num}(start_frame: end_frame);
expression_m_q2_plot = znorm_q2_filter{file_num}(start_frame: end_frame);
expression_m_q1 = abs(cwt(znorm_q1_filter{file_num}(start_frame: end_frame), scale_range,...
'cmor1.5-2'));
expression_m_q2 = abs(cwt(znorm_q2_filter{file_num}(start_frame: end_frame), scale_range, ...
'cmor1.5-2'));
expression_m_q1_spect{file_num, i} = imresize(expression_m_q1, [100, 15 * 32], ...
'bicubic');
expression_m_q2_spect{file_num, i} = imresize(expression_m_q2, [100, 15 * 32], ...
'bicubic');
BEpoch = 1: 10;
BaseMat_1 = (expression_m_q1_spect{file_num, i}(:, BEpoch))';
BaseMean_1 = repmat(mean(BaseMat_1)', 1, size(expression_m_q1_spect{file_num, i}, 2));
BaseStd_1 = repmat(std(BaseMat_1)', 1, size(expression_m_q1_spect{file_num, i}, 2));
expression_m_q1_spect{file_num, i} = (expression_m_q1_spect{file_num, i} - BaseMean_1) ./ BaseStd_1;
BEpoch = 1: 10;
BaseMat_2 = (expression_m_q2_spect{file_num, i}(:, BEpoch))';
BaseMean_2 = repmat(mean(BaseMat_2)', 1, size(expression_m_q2_spect{file_num, i}, 2));
BaseStd_2 = repmat(std(BaseMat_2)', 1, size(expression_m_q2_spect{file_num, i}, 2));
expression_m_q2_spect{file_num, i} = (expression_m_q2_spect{file_num, i} - BaseMean_2) ./ BaseStd_2;
save_folder = ...
sprintf('D:\\LabWork\\espression_test\\Expression\\Expression_%s\\', expression);
q1_save_name = sprintf('subject_%d_expression_%s_q1.mat', file_num, expression);
q2_save_name = sprintf('subject_%d_expression_%s_q2.mat', file_num, expression);
saved_q1_spect_expression_m_clip = expression_m_q1_spect{file_num, i};
saved_q2_spect_expression_m_clip = expression_m_q2_spect{file_num, i};
save(fullfile(save_folder, q1_save_name), 'saved_q1_spect_expression_m_clip');
save(fullfile(save_folder, q2_save_name), 'saved_q2_spect_expression_m_clip');
id1 = figure;
hold on
grid on
subplot(2,1,1);
plot(expression_m_q1_plot(2:end), 'r');
title(sprintf('subject %d expression_%s, q1, znorm filt data', file_num, expression));
subplot(2,1,2);
imagesc(expression_m_q1_spect{file_num, i});
title(sprintf('subject%d expression %s, q1, sepectrogram data', file_num, expression));
xlabel('frame(1/32)s');
ylabel('EDA(us)');
saveas(id1, strcat(save_folder, sprintf('subject_%d_expression_%s_q1_%s.fig', ...
file_num, expression, fileNames{file_num})));
saveas(id1, strcat(save_folder, sprintf('subject_%d_expression_%s_q1_%s.tif', ...
file_num, expression, fileNames{file_num})));
id2 = figure;
hold on
grid on
subplot(2,1,1);
plot(expression_m_q2_plot(2:end), 'r');
title(sprintf('subject %d expression_%s, q2, znorm filt data', file_num, expression));
subplot(2,1,2);
imagesc(expression_m_q2_spect{file_num, i});
title(sprintf('subject %d expression %s, q2, sepectrogram data', file_num, expression));
xlabel('frame(1/32)s');
ylabel('EDA(us)');
saveas(id2, strcat(save_folder, sprintf('subject_%d_expression_%s_q2_%s.fig', ...
file_num, expression, fileNames{file_num})));
saveas(id2, strcat(save_folder, sprintf('subject_%d_expression_%s_q2_%s.tif', ...
file_num, expression, fileNames{file_num})));
close all;
expression_m_q1 = [];
expression_m_q2 = [];
saved_q1_spect_expression_m_clip = [];
saved_q2_spect_expression_m_clip = [];
expression_m_q1_plot = [];
expression_m_q2_plot = [];
end
% do stuff
else fprintf('for subject %d, doesn''t show expression #%d\n', file_num, expression_num);
end
end
% for exp_num = 1: 3
% loop_num = loop_selection(sub_num +1 , exp_num);
% if loop_selection(sub_num + 1, exp_num) ~= 0;
% fprintf('do %d times\n', loop_num);
%
% end
% end
% end
end