Multi Visual Modality Fall Detection Dataset (MUVIM)

doi:doi:10.57702/d9ntlkx3

Multi Visual Modality Fall Detection Dataset (MUVIM)

The Multi Visual Modality Fall Detection Dataset (MUVIM) was used for anomaly detection of falls. It contains (6) vision-based sensors of different modalities including thermal, depth, infra-red (IR) and RGB cameras.

Data and Resources

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
Explore
- Preview
- Download

Cite this as

Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis (2024). Dataset: Multi Visual Modality Fall Detection Dataset (MUVIM). https://doi.org/10.57702/d9ntlkx3

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Stefan Denkovski
More Authors	Shehroz S. Khan Alex Mihailidis
Homepage	https://doi.org/10.1109/MUVIM.2022.0001