URHAND Supplementary documents.zip

Within this dataset, you will find the following folders with the following files:

Classifiers: a file that uses the dataset named (archivo_final.csv) to create the classifiers.
This document is a .py code file.

Dataset creator: in this folder, there are two Python codes; dataset_creation.py which allows
recording an experiment of 50 samples with the prosthesis for dataset creation.
Unificacion.py allows unifying each attempt generated by the previous file.
This creates the file archivo_final.csv.

Final data: contains the final dataset archivo_final.csv

Objects: contains a PDF (Object_List_AHAP_DataSet.pdf) with a list of the objects used for the
experiments and a relationship of the object's name and the ID used in the dataset.

raw data: Files of the collected data for each object and for each attempt.
This file is generated with dataset_creation.py and has the form data_x_n.py
where x will be a letter according to the object and n a number according to the attempt.
There will be 10 files for each object.

Videos: Contains the videos of the dataset creation from two perspectives.