HANDdata - first-person dataset including proximity and kinematics measurements from reach-to-grasp actions.

ABSTRACT: HANDdata is a dataset designed to provide hand kinematics and proximity vision data during reach to grasp actions of non-virtual objects, specifically tailored for autonomous grasping of a robotic hand, and with particular attention to the reaching phase. Thus, we sought to capture target object characteristics from radar and time-of-flight proximity sensors, as well as details of the reach-to-grasp action by looking at wrist and fingers kinematics, and at hand-object interaction main events. We structured the data collection as a sequence of static and grasping tasks, organized by increasing levels of complexity. HANDdata is a first-person, reach-to-grasp dataset that includes almost 6000 human-object interactions from 29 healthy adults, with 10 standardized objects of 5 different shapes

SUBMITTER: Mastinu E 

PROVIDER: S-EPMC10290694 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature