{"url":"/dataset/multidimensional-texture-perception","name":"Multidimensional Texture Perception","full_name":"Multidimensional Textural Perception and Classification Through Whisker","description_markdown":"Texture-based studies and designs have been in focus recently. Whisker-based multidimensional surface texture data is missing in the literature. This data is critical for robotics and machine perception algorithms in the classification and regression of textural surfaces. We present a novel sensor design to acquire multidimensional texture information. The surface texture's roughness and hardness were measured experimentally using sweeping and dabbing. The data is made available to the research community for further advancing texture perception studies.","description_withheld":null,"homepage":"https://github.com/tron8196/Towards-Multidimensional-Textural-Perception-and-Classification-Through-Whisker","introduced_date":"2022-09-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"GNU General Public License v3.0","url":"https://github.com/tron8196/Towards-Multidimensional-Textural-Perception-and-Classification-Through-Whisker/blob/main/LICENSE"},"modalities":[{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Texture Classification","url":"/task/texture-classification","datasets_with_task":"/datasets/task/texture-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Multidimensional Texture Perception"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}