{"url":"/dataset/dahlia-daily-human-life-activity","name":"DAHLIA","full_name":"DAily Human Life Activity","description_markdown":"DAHLIA dataset [1] is devoted to human activity recognition, which is a major issue for adapting smart-home services such as user assistance.\r\nDAHLIA has been realized in Mobile Mii Platform by CEA LIST, and has been partly supported by ITEA 3 Emospaces Project (https://itea3.org/project/emospaces.html)\r\n\r\nVideos were recorded in realistic conditions, with 3 Kinect v2 sensors located as they would be in a real context. The long-range activities were performed in an unconstrained way (participants received only few instructions), and in a continuous (untrimmed) sequence, resulting in long videos (40 min in average per subject). Contrary to previously published databases, in which labeled actions are very short and have low-semantic level, this new database focuses on high-level semantic activities such as « Preparing lunch » or « House Working ».\r\n\r\n[1] G. Vaquette, A. Orcesi, L. Lucat and C. Achard, \"The DAily Home LIfe Activity Dataset: A High Semantic Activity Dataset for Online Recognition,\" 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), 2017, pp. 497-504, doi: 10.1109/FG.2017.67.","description_withheld":null,"homepage":"https://www-mobilemii.cea.fr/?page_id=20","introduced_date":"2017-06-03","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"Activity Recognition","url":"/task/activity-recognition","datasets_with_task":"/datasets/task/activity-recognition"},{"name":"Activity Recognition In Videos","url":"/task/activity-recognition-in-videos","datasets_with_task":"/datasets/task/activity-recognition-in-videos"},{"name":"Activity Detection","url":"/task/activity-detection","datasets_with_task":"/datasets/task/activity-detection"},{"name":"Home Activity Monitoring","url":"/task/home-activity-monitoring","datasets_with_task":"/datasets/task/home-activity-monitoring"}],"languages":[],"variants":["DAHLIA"],"data_loaders":[{"repo":"https://github.com/Kaggle/kaggle-api","url":"https://www.kaggle.com/datasets/angeliqueloesch/dahlia","frameworks":[]}],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}