BGU Pattern-Cutting Dataset (BGU-PatCut)

  • Yarden Sharon (Max Planck Institute for Intelligent Systems) (Creator)
  • Tifferet Nevo (Creator)
  • Daniel Naftalovich (Creator)
  • Lidor Bahar (Creator)
  • Yael Refaely (Creator)
  • Ilana Nisky (Creator)

Dataset

Description

The BGU Pattern-Cutting Dataset (BGU-PatCut) contains the raw data for the publication "Augmenting Robot-Assisted Pattern Cutting with Periodic Perturbations – Can We Make Dry Lab Training More Realistic?" The dataset comprises data from 54 participants who performed 24 repetitions of a robot-assisted pattern-cutting surgical task under various conditions. For each repetition, we share kinematic data, video recordings, and manual labels for the different stages of the task. Detailed information on data collection is available in the Methods section of the manuscript. The dataset includes a PDF file describing the data and separate folders for each experiment: 1. PatternCuttingForcePerturbation 2. PatternCuttingMotionPerturbations We recommend using the "Tree" view instead of the "Table" view to view the files organized by folder.
Date made available2024
PublisherEdmond

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