Published October 8, 2025 | Version v2

High-resolution vibrotactile spatial acuity dataset for large-area body sites

  • 1. ROR icon University of Wuppertal

Contributors

Hosting institution:

  • 1. ROR icon University of Wuppertal
  • 2. ROR icon Institut de Ciències del Mar

Description

This xarray dataset ('mvomstein_ds_vibrotactile_spatial_acuity.nc') contains high-resolution vibrotactile spatial acuity data collected from 33 participants across five large-area body sites (forearm, abdomen, lower back near-spine area (NSA), lower back peripheral-spine area (PSA), and thigh). The data were obtained using a fully automated experimental setup that employs Bayesian adaptive parameter estimation to generate continuous psychometric functions. The dataset supports the findings of the study "Data-driven design guide for vibrotactile display layouts by continuous mapping", which is published at Scientific Reports (Nature Research).

Additionally, the supplementary files ('mvomstein_[...].xlsx') provide statistical analyses for the figures presented in the manuscript, including detailed results for comparisons across body sites, anisotropy effects, and regional sensitivity gradients.

 

 

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Additional details

Related works

Continues
Journal article: 10.1016/j.displa.2023.102546 (DOI)
Is supplement to
Journal article: 10.1038/s41598-025-25416-3 (DOI)

Software

Programming language
Python
Development Status
Active