GENERAL INFORMATION 
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1. Dataset title:
Texture Detection with Feature Extraction on Embedded FPGA - Dataset

2. Authors:
Raúl Lora-Rivera
Óscar Oballe-Peinado
Fernando Vidal-Verdú

3. Author contact information: 
Raúl Lora-Rivera - raul.lora@uma.es


METHODOLOGICAL INFORMATION 
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1. Description of the methods for collection/generation of data: 
Data was obtained from a custom smart tactile sensor mounted on a Cartesian robot exploring different textures (see the paper document for more information). 

R. Lora-Rivera, Ó. Oballe-Peinado and F. Vidal-Verdú, "Texture Detection With Feature Extraction on Embedded FPGA," in IEEE Sensors Journal, vol. 23, no. 11, pp. 12093-12104, 1 June1, 2023, doi: 10.1109/JSEN.2023.3268794.

2. Software or instruments needed to interpret the data:
The data is provided in CSV format, allowing it to be accessed by both commercial and open-source software.


FILE OVERVIEW 
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In this document there are attached twelve .csv files. These are the data obtained from the tactile sensor used in this work (see the paper document for more information). 


DATA-SPECIFIC INFORMATION:
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1. Name File: TEX*.csv

1.1. Variables list:

For each file, there are 200 raws with 2048 values obtained from the tactile sensor used in this work.

2. Name File: TEXTURE_IMAGE.png

This is an image with the twelve textures and their corresponding label, so it is easy to identify them (see also Section III -> Materials and Methods, Subsection C -> Texture Samples of the paper).