GRAB is a dataset for motion interaction and grasping 3D objects. The dataset contains accurate finger and facial movements, as well as contacts between objects and the body. The dataset contains 5 male and 5 female participants and 4 different motion intentions. The dataset also contains binary contact maps between the body and the objects.

Citation

@inproceedings{GRAB:2020,
title = {{GRAB}: A Dataset of Whole-Body Human Grasping of Objects},
author = {Taheri, Omid and Ghorbani, Nima and Black, Michael J. and Tzionas, Dimitrios},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2020},
url = {https://grab.is.tue.mpg.de}
}