Sign inGet started
Dataset · Hugging Face

faweigend/wearmocap

WearMoCap Dataset TLDR: This dataset comprises optical motion capture data of left arm motions and body orientations, which are paired with smartwatch and phone sensor measurements. All synced, calibrated, and preprocessed time series data is stored as CSVs. We collected this data to develop and test the open-source library WearMoCap, a system facilitating multimodal pose tracking from smartwatch and smartphone data. Its source code and tutorials are available on github.… See the full description on the dataset page: https://huggingface.co/datasets/faweigend/wearmocap.

Author / organizationfaweigend
License (as declared)apache-2.0
Downloads300 (as reported by Hugging Face)
Likes1
Created6 January 2025
Last updated at source7 January 2025
timeserieswearables
Embed this entry
<iframe src="https://silytics.si/embed/item/bd75bc8d-a59b-4454-8798-23e5b1892056" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

300 now (+36 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: WearMoCap Dataset TLDR: This dataset comprises optical motion capture data of left arm motions and body orientations, which are paired with smartwatch and phone sensor measurements. All synced, calibrated, and preprocessed time series data → WearMoCap Dataset TLDR: This dataset comprises optical motion capture data of left arm motions and body orientations, which are paired with smartwatch and phone sensor measurements. All synced, calibrated, and preprocessed time series data

Changes detected by Silytics between refreshes of the source.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.