Kavli Affiliate: Cheng Peng
| First 5 Authors: Zhaoyang Lv, Nicholas Charron, Pierre Moulon, Alexander Gamino, Cheng Peng
| Summary:
We present Aria Everyday Activities (AEA) Dataset, an egocentric multimodal
open dataset recorded using Project Aria glasses. AEA contains 143 daily
activity sequences recorded by multiple wearers in five geographically diverse
indoor locations. Each of the recording contains multimodal sensor data
recorded through the Project Aria glasses. In addition, AEA provides machine
perception data including high frequency globally aligned 3D trajectories,
scene point cloud, per-frame 3D eye gaze vector and time aligned speech
transcription. In this paper, we demonstrate a few exemplar research
applications enabled by this dataset, including neural scene reconstruction and
prompted segmentation. AEA is an open source dataset that can be downloaded
from https://www.projectaria.com/datasets/aea/. We are also providing
open-source implementations and examples of how to use the dataset in Project
Aria Tools https://github.com/facebookresearch/projectaria_tools.
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