eth-siplab/WildPPG
WildPPG Manuel Meier, Berken Utku Demirel, Christian Holz Sensing, Interaction & Perception Lab, Department of Computer Science, ETH Zürich, Switzerland 📖 Overview WildPPG provides 216 hours of continuous physiological recordings from 16 participants in diverse real-world scenarios. It is the largest dataset for developing and evaluating wearable heart-rate detection algorithms. Participants, Duration & Ground truth for heart rate estimation:16 healthy… See the full description on the dataset page: https://huggingface.co/datasets/eth-siplab/WildPPG.
| Author / organization | eth-siplab |
|---|---|
| License (as declared) | mit |
| Downloads | 240 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 5 April 2025 |
| Last updated at source | 4 August 2025 |
Popularity, last 2 days
240 now (+4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: WildPPG Manuel Meier, Berken Utku Demirel, Christian Holz Sensing, Interaction & Perception Lab, Department of Computer Science, ETH Zürich, Switzerland 📖 Overview WildPPG provides 216 hours of continuous physiological recordings from 16 p → WildPPG Manuel Meier, Berken Utku Demirel, Christian Holz Sensing, Interaction & Perception Lab, Department of Computer Science, ETH Zürich, Switzerland 📖 Overview WildPPG provides 216 hours of continuous physiological recordings from 16 p
Changes detected by Silytics between refreshes of the source.
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