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View: |
Part 1: Document Description
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Citation |
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Title: |
URHAND |
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Identification Number: |
doi:10.34848/9WYHGM |
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Distributor: |
Universidad del Rosario |
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Date of Distribution: |
2024-10-04 |
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Version: |
1 |
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Bibliographic Citation: |
Ramos, Orion, 2024, "URHAND", https://doi.org/10.34848/9WYHGM, Universidad del Rosario, V1 |
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Citation |
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Title: |
URHAND |
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Identification Number: |
doi:10.34848/9WYHGM |
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Distributor: |
Universidad del Rosario |
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Depositor: |
Ramos, Orion |
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Date of Deposit: |
2024-05-20 |
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Study Scope |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
CC0 Waiver |
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Other Study Description Materials |
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Label: |
URHAND Supplementary documents.zip |
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Text: |
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. |
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Notes: |
application/zip |