validate the recognition codes

recognition/activity_recognition.m

@@ -6,8 +6,9 @@
         lambda = 0.0015;
         sigma = 1;
     end
-
-    sequence = 76:125;
+
+    disp('running recognition...')
+    sequence = 76:125; % remove first 75 unstable points, cannot be larger, or Index exceeds matrix dimensions
     time_kcc = zeros(13,1);
     time_dtw = zeros(13,1);
 
@@ -37,7 +38,6 @@
                         time_kcc(activity_test) = time_kcc(activity_test) + toc;
 
                         tic
-%                         distance(subject, 5*(activity-1)+ samples, 5*(activity_test-1)+ samples_test) = 0;
                         distance(subject, 5*(activity-1)+ samples, 5*(activity_test-1)+ samples_test) = dtw(train', test');
                         time_dtw(activity_test) = time_dtw(activity_test) + toc;
                     end
@@ -49,9 +49,10 @@
     time_use = [time_kcc, time_dtw];
     filename = 'results.mat';
     save(filename, 'response', 'distance', 'time_use');
-    [accuracy_kcc, accuracy_dtw] = show_results(filename);
-    results = [accuracy_dtw, accuracy_kcc, time_dtw, time_kcc, sigma, lambda];
-    fprintf('accuracy_dtw: %f; accuracy_kcc: %f; time_dtw: %f, time_kcc: %f; sigma: %f lambda: %f\n', ...
+    disp('Saved results to results.mat')
+    [accuracy_kcc, accuracy_dtw] = show_results();
+    results = [accuracy_dtw, accuracy_kcc, sum(time_dtw), sum(time_kcc), sigma, lambda];
+    fprintf('accuracy_dtw: %f; accuracy_kcc: %f; time_dtw: %f s, time_kcc: %f s; sigma: %f lambda: %f\n', ...
         results(1),  results(2), results(3), results(4), results(5), results(6));
-
+    disp('Done.')
 end

recognition/data_conversion.m

@@ -3,6 +3,29 @@
 % 
 folder = './WARD1.0/';
 addpath('./natsortfiles/')
+
+if ~(7==exist(folder,'dir'))
+    url = 'https://people.eecs.berkeley.edu/~yang/software/WAR/WARD1.zip';
+    filename = 'WARD1.zip';
+    disp('Downloading database...')
+    websave(filename,url);
+    disp('Extracting files...')
+    try
+        unzip(filename, '.');
+    catch err
+        disp('Unable to upzip, you may need to download/unzip the database to currently folder manually via link:')
+        disp(url)
+        return
+    end
+    disp('Extracted.')
+end
+
+if (7==exist(folder,'dir'))
+    disp('Data Conversion...')
+else
+    return
+end
+
 files = dir(folder);
 fileIndex = find([files.isdir]);
 fileIndex = fileIndex(3:end); 
@@ -38,4 +61,5 @@
 end 
 
 save('data.mat', 'data');
+disp('Done. Saved to data.mat')
 clear

recognition/run_me.m

@@ -0,0 +1,6 @@
+
+data_conversion; % convert database to compatible format
+
+activity_recognition; % run recognition demo and show results
+
+%% you may also run show_example after running data_conversion to visulize the signals.

recognition/show_results.m

@@ -72,16 +72,17 @@
     accuracy_dtw = trace(sum_blocks(fusion_matrix_dtw, 5, 5))/sum(fusion_matrix_dtw(:));
 
     if nargin < 1
-        fprintf('accuracy kcc: %f; dtw: %f', accuracy_kcc, accuracy_dtw);
+        fprintf('accuracy kcc: %f; dtw: %f\n', accuracy_kcc, accuracy_dtw);
     end
 
     table_comparison = ...
     [diag(sum_blocks(fusion_matrix_kcc, 5, 5)./200)*100,...
      diag(sum_blocks(fusion_matrix_dtw, 5, 5)./200)*100, results.time_use/65/65*1000*1000];
 
-    table_comparison = [table_comparison; mean(table_comparison)]
+    table_comparison = [table_comparison; mean(table_comparison)];
 
     matrix2latex(table_comparison, 'comparison_results.txt');
+%     disp('Saved results table to Latex codes into comarison_results.txt')
 
     function out = sum_blocks(A, block_nrows, block_ncols)
         out = squeeze(sum(reshape(sum(reshape(A,block_nrows,[])),...