{"url":"/dataset/wear","name":"WEAR","full_name":"WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition","description_markdown":"WEAR is an outdoor sports dataset for both vision- and inertial-based human activity recognition (HAR). The dataset comprises data from 22 participants performing a total of 18 different workout activities with untrimmed inertial (acceleration) and camera (egocentric video) data recorded at 11 different outside locations. Unlike previous egocentric datasets, WEAR provides a challenging prediction scenario marked by purposely introduced activity variations as well as an overall small information overlap across modalities.","description_withheld":null,"homepage":"https://mariusbock.github.io/wear/","introduced_date":"2023-04-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/wear-a-multimodal-dataset-for-wearable-and","title":"WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition","first_author":"Marius Bock","url":null},"license":{"name":"CC BY-NC-SA 4.0","url":"http://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Temporal Action Localization","url":"/task/action-recognition","datasets_with_task":"/datasets/task/action-recognition"},{"name":"Action Detection","url":"/task/action-detection","datasets_with_task":"/datasets/task/action-detection"},{"name":"Human Activity Recognition","url":"/task/human-activity-recognition","datasets_with_task":"/datasets/task/human-activity-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["WEAR"],"data_loaders":[{"repo":"https://github.com/mariusbock/wear","url":"https://github.com/mariusbock/wear","frameworks":["pytorch"]}],"num_papers_in_archive":5,"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."}