Functions for helping work with NINAPRO databases 1 and 2.
Frozen for legacy code: see here for build with additional features but same core functionality
Add this package either to python's path or put the script in your working directory. Then ensure you have a folder somewhere with all the raw mat files downloadable from here.
Then you can import the NINAPRO data from a particular subject and be away
# subject_nb: 1-27
data_dict = nina_helper.import_db1(db1_path, subject_nb, rest_length_cap=5) or
# subject_nb: 1-40
data_dict = nina_helper.import_db2(db2_path, subject_nb, rest_length_cap=5) reps = [1, 2, 3, 4, 5, 6]
nb_test_reps = 2
train_reps, test_reps = nina_helper.gen_split_balanced(reps, nb_test_reps)
emg_data = nina_helper.normalise_emg(data_dict['emg'], data_dict['rep'], train_reps[0, :])
x_all, y_all, r_all = nina_helper.get_windows(window_len, window_inc, reps,
emg_data, data_dict['move'], data_dict['rep'])
train_idx = nina_helper.get_idxs(r_all, train_reps[0, :])
one_hot_categorical = nina_helper.to_categorical(y_all) MIT Licence.
If this helps you with your research please considering referencing as:
Hartwell, A. (2017) NINAPRO Software Utilities.