{"url":"/dataset/mex","name":"MEx","full_name":null,"description_markdown":"A multi-sensor, multi-modal dataset, implemented to benchmark Human Activity Recognition(HAR) and Multi-modal Fusion algorithms. Collection of this dataset was inspired by the need for recognising and evaluating quality of exercise performance to support patients with Musculoskeletal Disorders(MSD).\r\n\r\nSource: [MEx: Multi-modal Exercises Dataset for Human Activity Recognition](/paper/mex-multi-modal-exercises-dataset-for-human)","description_withheld":null,"homepage":"https://github.com/anjanaw/MEx","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/mex-multi-modal-exercises-dataset-for-human","title":"MEx: Multi-modal Exercises Dataset for Human Activity Recognition","first_author":"Anjana Wijekoon","url":null},"license":null,"modalities":[],"tasks":[{"name":"Activity Recognition","url":"/task/activity-recognition","datasets_with_task":"/datasets/task/activity-recognition"},{"name":"Meta-Learning","url":"/task/meta-learning","datasets_with_task":"/datasets/task/meta-learning"}],"languages":[],"variants":["MEx"],"data_loaders":[{"repo":"https://github.com/anjanaw/MEx","url":"https://github.com/anjanaw/MEx","frameworks":["tf"]}],"num_papers_in_archive":3,"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."}