{"url":"/dataset/mentalhad","name":"MentalHAD","full_name":null,"description_markdown":"Collecting data with a HIKVISION USB Camera DS-E11, we build a dataset called MentalHAD with four abnormal actions (climbing walls, hitting windows, climbing, and hitting) and six normal actions (crouching, standing, sitting, hand waving, walking, and running). It includes RGB videos of about 274 minutes (493504 frames) with 30 FPS in three different scenes, five subjects, and seven scene-subject pairs. They are organized into 69 sequences, each containing the data of only one action in about 2-5 minutes.","description_withheld":null,"homepage":"https://github.com/Inowlzy/SMART.git","introduced_date":"2024-06-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/smart-scene-motion-aware-human-action","title":"SMART: Scene-motion-aware human action recognition framework for mental disorder group","first_author":"Zengyuan Lai","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["MentalHAD"],"data_loaders":[],"num_papers_in_archive":1,"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."}