Disclosure: I’m one of the people behind Aidlab.
If you’re working on human activity recognition, exercise classification, or repetition counting, we’ve published AIDLAB-HAR on Hugging Face under CC BY 4.0.
It contains 180 chest-worn recordings and 518,300 samples at 50 Hz. The signals include 3-axis acceleration, orientation quaternions, 16 activity labels, and repetition markers.
We packaged it into three configurations that work directly with the datasets library: recordings, signals, and annotations. The raw v3 archive, cleaning notes, and preparation script are included too.
One detail we found while preparing the release: the paper’s overview mentions 15 activities, while the archive contains 16 filename labels. We documented the discrepancy and preserved the source labels.
Dataset: https://huggingface.co/datasets/aidlab-wearables/AIDLAB-HAR
submitted by /u/Guzikk
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