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| Format: | Preprint |
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2025
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| Online-Zugang: | https://arxiv.org/abs/2510.16258 |
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| _version_ | 1866911218377162752 |
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| author | McLean, Claire Meendering, Makenzie Swartz, Tristan Gabbay, Orri Olsen, Alexandra Jacobs, Rachel Rosen, Nicholas de Bree, Philippe Garcia, Tony Merrill, Gadsden Sandakly, Jake Buffalini, Julia Jain, Neham Krenn, Steven Kumar, Moneish Markovic, Dejan Ng, Evonne Prada, Fabian Saba, Andrew Zhang, Siwei Agrawal, Vasu Godisart, Tim Richard, Alexander Zollhoefer, Michael |
| author_facet | McLean, Claire Meendering, Makenzie Swartz, Tristan Gabbay, Orri Olsen, Alexandra Jacobs, Rachel Rosen, Nicholas de Bree, Philippe Garcia, Tony Merrill, Gadsden Sandakly, Jake Buffalini, Julia Jain, Neham Krenn, Steven Kumar, Moneish Markovic, Dejan Ng, Evonne Prada, Fabian Saba, Andrew Zhang, Siwei Agrawal, Vasu Godisart, Tim Richard, Alexander Zollhoefer, Michael |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_16258 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Embody 3D: A Large-scale Multimodal Motion and Behavior Dataset McLean, Claire Meendering, Makenzie Swartz, Tristan Gabbay, Orri Olsen, Alexandra Jacobs, Rachel Rosen, Nicholas de Bree, Philippe Garcia, Tony Merrill, Gadsden Sandakly, Jake Buffalini, Julia Jain, Neham Krenn, Steven Kumar, Moneish Markovic, Dejan Ng, Evonne Prada, Fabian Saba, Andrew Zhang, Siwei Agrawal, Vasu Godisart, Tim Richard, Alexander Zollhoefer, Michael Computer Vision and Pattern Recognition 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. |
| title | Embody 3D: A Large-scale Multimodal Motion and Behavior Dataset |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2510.16258 |