function [geom_data, valid_ids] = Read_geom_files_dynamic(users, params_data_dir) geom_data = []; valid_ids = []; load('../../pca_generation/pdm_68_aligned_wild.mat'); user1 = {'train_001', 'train_002', 'train_003', 'train_004', 'train_005',... 'train_006', 'train_007', 'train_008', 'train_009', 'train_010',... 'train_011', 'train_012', 'train_013', 'train_014', 'train_015',... 'train_016', 'train_017', 'train_018'}; user2 = {'train_019', 'train_020', 'train_021', 'train_022', 'train_023',... 'train_024', 'train_025', 'train_026', 'train_027', 'train_028',... 'train_029', 'train_030', 'train_031', 'train_032'}; user3 = {'train_033', 'train_034', 'train_035', 'train_036', 'train_037',... 'train_038', 'train_039', 'train_040', 'train_041'}; user4 = {'train_042', 'train_043', 'train_044', 'train_045', 'train_046',... 'train_047', 'train_048', 'train_049', 'train_050', 'train_051',... 'train_052', 'train_053', 'train_054', 'train_055', 'train_056'}; user5 = {'train_057', 'train_058', 'train_059', 'train_060', 'train_061',... 'train_062', 'train_063'}; user6 = {'train_064', 'train_065', 'train_066', 'train_067', 'train_068',... 'train_069', 'train_070', 'train_071', 'train_072', 'train_073',... 'train_074', 'train_075', 'train_076', 'train_077', 'train_078', 'train_079'}; user7 = {'train_080', 'train_081', 'train_082', 'train_083', 'train_084',... 'train_085', 'train_086', 'train_087'}; users_group = cat(1, {user1}, {user2}, {user3}, {user4}, {user5}, {user6}, {user7}); user_inds = []; for i=1:numel(users) geom_file = [params_data_dir, '/au_training_' users{i} '.txt']; m_file = [params_data_dir, '/au_training_' users{i} '.params.mat']; if(~exist(m_file, 'file')) res = dlmread(geom_file, ',', 1, 0); save(m_file, 'res'); else load(m_file); end valid = res(:, 4); res = res(:, 11:end); for k=1:numel(users_group) if(~isempty(strmatch(users{i}, users_group{k}))) user_inds = cat(1, user_inds, k * ones(size(valid,1),1)); end end actual_locs = res * V'; res = cat(2, actual_locs, res); valid_ids = cat(1, valid_ids, valid); geom_data = cat(1, geom_data, res); end if(numel(users) > 0) % Perform normalization here u_id = unique(user_inds)'; for u=u_id geom_data(user_inds==u, :) = bsxfun(@plus, geom_data(user_inds==u, :), -median(geom_data(user_inds==u & valid_ids, :))); end end end