Nshisei/multimodal_multiangle_fall_detection_dataset
Multi-View Multimodal Dataset for Fall and Daily Activity Recognition in Wheelchair Users 🧑🦽 Overview This dataset is designed for research in fall detection and daily activity monitoring specifically for wheelchair users. It contains synchronized multi-view, multi-modal data collected from a simulated private room with sensors including thermal cameras, Intel RealSense, and OAK-D. Key Features: Multi-view recordings from four room corners (Position 1–4) High… See the full description on the dataset page: https://huggingface.co/datasets/Nshisei/multimodal_multiangle_fall_detection_dataset.
| Author / organization | Nshisei |
|---|---|
| Downloads | 217 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 10 February 2025 |
| Last updated at source | 10 June 2025 |
Popularity, last 2 days
217 now (-67 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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 Information may be incomplete or out of date.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.