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.
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
Uriel Martinez-Hernandez
University of Bath
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
Faculty of Engineering & Design
Electronic & Electrical Engineering
Research Centres & Institutes
Centre for Autonomous Robotics (CENTAUR)
Centre for Digital, Manufacturing & Design (dMaDe)
