{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/aria-everyday-activities-dataset","title":"Aria Everyday Activities Dataset","arxiv_id":"2402.13349","date":"2024-02-20","proceeding":null,"authors":["Zhaoyang Lv","Nicholas Charron","Pierre Moulon","Alexander Gamino","Cheng Peng","Chris Sweeney","Edward Miller","Huixuan Tang","Jeff Meissner","Jing Dong","Kiran Somasundaram","Luis Pesqueira","Mark Schwesinger","Omkar Parkhi","Qiao Gu","Renzo De Nardi","Shangyi Cheng","Steve Saarinen","Vijay Baiyya","Yuyang Zou","Richard Newcombe","Jakob Julian Engel","Xiaqing Pan","Carl Ren"],"abstract":"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.","url_abs":"https://arxiv.org/abs/2402.13349v2","url_pdf":"https://arxiv.org/pdf/2402.13349v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"aria-everyday-activities-dataset","repo_url":"https://github.com/facebookresearch/projectaria_tools","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[],"methods":[{"method_slug":"aria","method_name":"ARiA"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2402.13349","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.13349"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/facebookresearch/projectaria_tools","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"ran":1},"by_repo_kind":{"official":{"samples":1,"ran":1,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"19ff230e8bd9e03f","entry":"bisection_timestamp_search","repo":"facebookresearch/projectaria_tools","repo_kind":"official","path":"projectaria_tools/core/mps/utils.py","file_url":"https://github.com/facebookresearch/projectaria_tools/blob/HEAD/projectaria_tools/core/mps/utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"19ff230e8bd9e03f"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}