ArticleScientific data2023
HANDdata - first-person dataset including proximity and kinematics measurements from reach-to-grasp actions.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A multimodal biomechanics dataset with synchronized kinematics and internal tissue motions during reaching.Scientific data · 2026Article
- Hand Motion Catalog of Human Center-Out Transport Trajectories Measured Redundantly in 3D Task-Space.Scientific data · 2025Article
- Enhancing robotic skill acquisition with multimodal sensory data: A novel dataset for kitchen tasks.Scientific data · 2025Article
- Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements.Scientific data · 2025Article
- HANDdata - first-person dataset including proximity and kinematics measurements from reach-to-grasp actions.Scientific data · 2023Article
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Authors and funding
5 authors.
Funding
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 and 2 kinds of materials. We believe that such data collection can be of value for researchers interested in autonomous grasping robots for healthcare and industrial applications, as well as for those interested in radar-based computer vision and in basic aspects of sensorimotor control and manipulation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.