1303 24 17300 3 62069 document 17300 multimodal_dataset.zip application/zip d54b3bc2716b0c054c83163cdbcd1bc0 MD5 169743 2023-07-26 17:40:04 https://researchdata.bath.ac.uk/1303/1/multimodal_dataset.zip 1303 1 1 application/zip other 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. en public cc_by

multimodal_dataset.zip

data archive 9738 disk0/00/00/13/03 2024-03-14 09:08:55 2024-07-15 11:00:11 2024-03-14 09:08:55 data_collection show Martinez-Hernandez Uriel U.Martinez@bath.ac.uk 0000-0002-9922-7912 University of Bath TRUE EA0090 KS0100 dept_elec_eng multimodal sensing, machine learning, texture recognition, soft tactile sensors, robotics 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. 2023-08-01 University of Bath public RightsHolder University of Bath Engineering and Physical Sciences Research Council https://doi.org/10.13039/501100000266 EP/V051083/1 Manufacturing in Hospital: BioMed 4.0 cent_aur cent_dmade The methodology can be found in the associated paper. en 1 10.15125/BATH-01303 https://doi.org/10.1109/LSENS.2023.3300796 pub open Dataset