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 projectaria.com. We are also providing open-source implementations and
examples of how to use the dataset in Project Aria Tools.

Aria Everyday Activities (AEA) Dataset 是一个多模态的开放式数据集，记录了由多个佩戴者在五个不同地理位置的室内场景中进行的 143 个日常活动序列。该数据集通过 Project Aria 眼镜记录了多模态传感器数据，并提供了机器感知数据，包括高频全局对齐的 3D 轨迹、场景点云、每帧的 3D 凝视向量和时间对齐的语音转录。本文还展示了该数据集支持的一些示例研究应用，包括神经场景重建和提示分割。AEA 是一个开源数据集，可从 projectaria.com 下载，并提供了 Project Aria 工具的开源实现和示例。