NINAPRO Utilities

Functions for helping work with NINAPRO databases 1 and 2.

This code is discontinued, see here for newer versions designed as package

Usage

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) 

Licence

MIT Licence.

If this helps you with your research please considering referencing as:

Hartwell, A. (2017) NINAPRO Software Utilities.