Datasets › OPERAnet
OPERAnet
OPERAnet is a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors. Approximately 8 hours of annotated measurements are provided, which are collected across two different rooms from 6 participants performing 6 activities, namely, sitting down on a chair, standing from sit, lying down on the ground, standing from the floor, walking and body rotating. The dataset has been acquired from four synchronized modalities for the purpose of passive Human Activity Recognition (HAR) as well as localization and crowd counting.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 8 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- OPERAnet
1 variant name, as the archive lists them.
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