Nymeria (Meta Reality Labs, ECCV 2024, arXiv 2406.09905) is a large egocentric human-motion dataset: 300 h of daily activities from 264 participants in 50 locations. Participants wear Project Aria glasses and a miniAria wristband on each wrist, and an XSens MVN Link suit records full-body pose as ground truth. The dataset also has hierarchical language narrations. NymeriaPlus (arXiv 2603.18496) extends it.
- Type
- Dataset
- DOI
- Not reported
- Licence
- Not reported
- Code & repos
- Access
- Not reported
- Subjects
- 264
- PPG sites
- None
- Setting
- In the wild
- Wrist
- Not reported
- Raw waveforms
- Not reported
- Updated
- Nov 10, 2026

Key numbers
How it works
- Reference labels
- motion capture, language narration
Papers and models using this dataset· 3
Papers
Models
#70 of 158 most-used datasets by published papers and models · #30 of 70 IMU · #7 of 18 rPPG
Cite
No citation metadata yet.
Cite the ChatPPG record
Cite the dated snapshot 2026-10 for a fixed, reproducible version. Please also cite the original publications listed above.
APA
ChatPPG. (2026). Nymeria: dataset record (Version 2026-10) [Data set]. ChatPPG Research Hub. https://chatppg.com/research/datasets/nymeria
BibTeX
@misc{chatppg_dataset_nymeria,
author = {{ChatPPG}},
title = {{Nymeria: dataset record}},
year = {2026},
month = nov,
version = {2026-10},
howpublished = {\url{https://chatppg.com/research/datasets/nymeria}},
note = {ChatPPG Research Hub, Snapshot 2026-10, https://chatppg.com/research/snapshots/2026-10}
}CITATION.cff
cff-version: 1.2.0 message: "If you use this resource, please cite it as below." type: dataset title: "Nymeria: dataset record" authors: - name: "ChatPPG" url: "https://chatppg.com/research/datasets/nymeria" repository-artifact: "https://chatppg.com/research/snapshots/2026-10" version: "2026-10" date-released: "2026-11-10"
History
Record updated
Papers
Models
Datasets
Ego-Exo4D: 1,286 h of synchronised ego (Aria glasses) and exo video of skilled activities from 740 participants, with Aria IMUsSame task: Activity recognition740 subjects · IMU · Audio · Video
Ego4D: 3,670 h of egocentric daily-life video from 931 camera wearers, with head-camera IMU on part of the dataSame task: Activity recognition931 subjects · IMU · Audio · Video- HARMESSame task: Activity recognitionwrist IMU + atmospheric + audio HAR20 subjects · IMU · Audio · atmospheric-temp
