The Codec Avatars Lab at Meta introduces Embody 3D, a multimodal dataset of 500 individual hours of 3D motion data from 439 participants collected in a multi-camera collection stage, amounting to over 54 million frames of tracked 3D motion. The dataset features a wide range of single-person motion data, including prompted motions, hand gestures, and locomotion; as well as multi-person behavioral and conversational data like discussions, conversations in different emotional states, collaborative activities, and co-living scenarios in an apartment-like space. We provide tracked human motion including hand tracking and body shape, text annotations, and a separate audio track for each participant.
Cite
@article{arxiv.2510.16258,
title = {Embody 3D: A Large-scale Multimodal Motion and Behavior Dataset},
author = {Claire McLean and Makenzie Meendering and Tristan Swartz and Orri Gabbay and Alexandra Olsen and Rachel Jacobs and Nicholas Rosen and Philippe de Bree and Tony Garcia and Gadsden Merrill and Jake Sandakly and Julia Buffalini and Neham Jain and Steven Krenn and Moneish Kumar and Dejan Markovic and Evonne Ng and Fabian Prada and Andrew Saba and Siwei Zhang and Vasu Agrawal and Tim Godisart and Alexander Richard and Michael Zollhoefer},
journal= {arXiv preprint arXiv:2510.16258},
year = {2025}
}