Dataset for "Soft Tactile Sensor with Multimodal Data Processing for Texture Recognition"

The dataset is composed of 5 folders that contain tactile data from 5 different textures. Each folder has 15 files: 5 text files with data collected from piezovibration sensing modality, 5 text files with data collected from velostat (piezoresistive) sensing modality, 5 files with data from IMU (accelerometer, gyroscope) and pressure data. This dataset was collected to investigate the potential of the proposed multimodal soft tactile sensor to read data using multiple different sensing elements and their combination for texture recognition.

Keywords:
multimodal sensing, machine learning, texture recognition, soft tactile sensors, robotics
Subjects:
Electrical engineering
Tools, technologies and methods

Cite this dataset as:
Martinez-Hernandez, U., 2023. Dataset for "Soft Tactile Sensor with Multimodal Data Processing for Texture Recognition". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01303.

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Data

multimodal_dataset.zip
application/zip (169kB)
Creative Commons: Attribution 4.0

Data collected from five different textures with the multimodal soft tactile sensor presented in the work "Soft Tactile Sensor with Multimodal Data Processing for Texture Recognition". The zip file has 5 folders each containing a folder with 5 data samples from piezovibration sensing, 5 data samples from velostat sensing and 5 data samples from IMU sensing.

Creators

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

The methodology can be found in the associated paper.

Funders

Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266

Manufacturing in Hospital: BioMed 4.0
EP/V051083/1

Publication details

Publication date: 1 August 2023
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-01303

URL for this record: https://researchdata.bath.ac.uk/id/eprint/1303

Related papers and books

Martinez-Hernandez, U., and Assaf, T., 2023. Soft Tactile Sensor With Multimodal Data Processing for Texture Recognition. IEEE Sensors Letters, 7(8), 1-4. Available from: https://doi.org/10.1109/lsens.2023.3300796.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Uriel Martinez-Hernandez

Departments:

Faculty of Engineering & Design
Electronic & Electrical Engineering

Research Centres & Institutes
Centre for Autonomous Robotics (CENTAUR)
Centre for Digital, Manufacturing & Design (dMaDe)