Affiliation:
1. Yale GRAB Laboratory, Department of Mechanical Engineering & Materials Science, Yale University, USA
Abstract
This paper presents a dataset of human grasping behavior in unstructured environments. Wide-angle head-mounted camera video was recorded from two housekeepers and two machinists during their regular work activities, and the grasp types, objects, and tasks were analyzed and coded by study staff. The full dataset contains 27.7 hours of tagged video and represents a wide range of manipulative behaviors spanning much of the typical human hand usage. We provide the original videos, a spreadsheet including the tagged grasp type, object, and task parameters, time information for each successive grasp, and video screenshots for each instance. Example code is provided for MATLAB and R, demonstrating how to load in the dataset and produce simple plots.
Subject
Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modeling and Simulation,Software
Cited by
62 articles.
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