Datasets › KFall Dataset
KFall Dataset
The aim of KFall dataset is to contribute technology development for elderly fall detection and injury prevention. It was acquired by 32 young subjects with 21 types of activities of daily living (ADLs) and 15 types of falls from an inertial sensor attached on low back. In total, it contains 5075 motion files with 2729 ADL motions and 2346 fall motions. In addition, for each fall motion, ready-to-use fall labels (fall initialization and fall impact moment) based on synchronized video references were also included.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
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Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
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Modalities archive 2025-07-28
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Languages archive 2025-07-28
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Variants archive 2025-07-28
- KFall Dataset
1 variant name, as the archive lists them.
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