clear all; close all; path=['D:\jiangxinyu\Open Access HDsEMG DataSet Analysis\hyser_dataset']; % change path to the location of the dataset thresh=0.0004 % 0.4 mv threshold to detect valid zero cross and slope sign change features window_len=0.02 % 0.02 s sliding window to extract features step_len=0.02 % 0.02 s step length of the sliding window to extract features f_cutoff=10; % filter force data using a low pass filter with 10 Hz cut off frequency fs_emg=2048; fs_force=100; Q=20; ii=0; D=1; Tol=0.05; pca_active=1; dim=200; subject='01'; session=1; combination=2;% finger combination (2) force_finger_ndof=load_ndof(path,subject,session,'force'); emg_finger_ndof=load_ndof(path,subject,session,'preprocess'); force_finger_ndof=force_finger_ndof(combination,:); emg_finger_ndof=emg_finger_ndof(combination,:); mvc=get_mvc(path,subject,num2str(session)); force_norm=normalize_force(force_finger_ndof,mvc); force_norm_preprocess=preprocess_force(force_norm,window_len,step_len,f_cutoff,fs_force,fs_emg); feature=cell(1,2); force_groundtruth_thumb=cell(1,2); force_groundtruth_index=cell(1,2); force_groundtruth_middle=cell(1,2); force_groundtruth_ring=cell(1,2); force_groundtruth_little=cell(1,2); for v=1:size(emg_finger_ndof,2) v emg=emg_finger_ndof{1,v}; rms=get_rms(emg,window_len,step_len,fs_emg); wl=get_wl(emg,window_len,step_len,fs_emg); zc=get_zc(emg,window_len,step_len,thresh, fs_emg); ssc=get_ssc(emg,window_len,step_len,thresh, fs_emg); feature{1,v}=[rms';wl';zc';ssc']; force_groundtruth_thumb{1,v}=force_norm_preprocess{1,v}(:,1); force_groundtruth_index{1,v}=force_norm_preprocess{1,v}(:,2); force_groundtruth_middle{1,v}=force_norm_preprocess{1,v}(:,3); force_groundtruth_ring{1,v}=force_norm_preprocess{1,v}(:,4); force_groundtruth_little{1,v}=force_norm_preprocess{1,v}(:,5); end % model training and testing train_trial_idx=1; % use the 1st trial as the training data test_trial_idx=2; % use the 2nd trial as the testing data force_train_thumb=force_groundtruth_thumb(1,train_trial_idx); force_test_thumb=force_groundtruth_thumb(1,test_trial_idx); force_train_index=force_groundtruth_index(1,train_trial_idx); force_test_index=force_groundtruth_index(1,test_trial_idx); force_train_middle=force_groundtruth_middle(1,train_trial_idx); force_test_middle=force_groundtruth_middle(1,test_trial_idx); force_train_ring=force_groundtruth_ring(1,train_trial_idx); force_test_ring=force_groundtruth_ring(1,test_trial_idx); force_train_little=force_groundtruth_little(1,train_trial_idx); force_test_little=force_groundtruth_little(1,test_trial_idx); feature_train=feature(1,train_trial_idx); feature_test=feature(1,test_trial_idx); [feature_train_norm,feature_test_norm]=feature_normalize(feature_train,feature_test,pca_active,dim); % train the regression model x_plus_thumb = e_sifir_trn(feature_train_norm, force_train_thumb, [Q D Tol ii], [2/window_len 2/window_len]); x_plus_index = e_sifir_trn(feature_train_norm, force_train_index, [Q D Tol ii], [2/window_len 2/window_len]); x_plus_middle = e_sifir_trn(feature_train_norm, force_train_middle, [Q D Tol ii], [2/window_len 2/window_len]); x_plus_ring = e_sifir_trn(feature_train_norm, force_train_ring, [Q D Tol ii], [2/window_len 2/window_len]); x_plus_little = e_sifir_trn(feature_train_norm, force_train_little, [Q D Tol ii], [2/window_len 2/window_len]); [Err_thumb, force_estimate_thumb] = e_sifir_tst(x_plus_thumb, feature_test_norm, force_test_thumb, [Q D Tol ii], [2/window_len 2/window_len]); [Err_index, force_estimate_index] = e_sifir_tst(x_plus_index, feature_test_norm, force_test_index, [Q D Tol ii], [2/window_len 2/window_len]); [Err_middle, force_estimate_middle] = e_sifir_tst(x_plus_middle, feature_test_norm, force_test_middle, [Q D Tol ii], [2/window_len 2/window_len]); [Err_ring, force_estimate_ring] = e_sifir_tst(x_plus_ring, feature_test_norm, force_test_ring, [Q D Tol ii], [2/window_len 2/window_len]); [Err_little, force_estimate_little] = e_sifir_tst(x_plus_little, feature_test_norm, force_test_little, [Q D Tol ii], [2/window_len 2/window_len]);