Datasets › SPHERE
SPHERE
The dataset for the SPHERE challenge consists on a multimodal activity recognition dataset consisting of accelerometer, RGB-D and environmental data. Accelerometer is samplled at 20 Hz and given in its raw format. Raw video is not given in order to preserve anonymity of the participants. Instead, extracted features that relate to the centre of mass and bounding box of the identified persons are provided. Environmental data consists of Passive Infra-Red (PIR) sensors, and these is given in raw format.
Twenty (posture/ambulation) activities labels are annotated in the dataset.
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 5 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
No task tagged in the archive.
License archive 2025-07-28
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SPHERE
1 variant name, as the archive lists them.
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