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README.md

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 license_name: aria-everyday-activities-dataset-license-agreement
 license_link: https://www.projectaria.com/datasets/aea/license/
 ---
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 # Aria Everyday Activities (AEA) Dataset
 
+![img](assets/AEA_intro.jpg)
+
+Figure 1. An overview of Aria Everyday Activities (AEA) dataset using some exemplar activities recorded in Location 1. On the right column, we highlight a time-synchronized snapshot of two wearers talking to each other in one activity, with the following information representing each of the viewer in red and green: (1) their high-frequency 6DoF close-loop trajectories, (2) observed point cloud, (3) RGB camera view frustum, (4) monochrome scene cameras, (5) eyetracking cameras, (6) their projected eye gaze on all three camera streams and (7) transcribed speech. On the left side, we also highlight a diverse set of activities (e.g. dining, doing laundry, folding clothes, cooking) with the projected eyetracking (green dot) on the RGB streams. All of the recordings contain close-loop trajectories (white lines) spatially aligned on the environment point cloud (semi-dense points).
+
 ## Dataset Summary
 
 The Aria Everyday Activities (AEA) dataset provides sequences collected using Project Aria glasses in a variety of egocentric scenarios, including: cooking, exercising, playing games and spending time with friends. The goal of AEA is to provide researchers with data to engage in solving problems related to the challenges of always-on egocentric vision. AEA contains multiple activity sequences where 1-2 users wearing Project Aria glasses participate in scenarios to capture time synchronized data in a shared world location.
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 ## Contributors
 
 @nickcharron
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