EVIORA-HAR: A multimodal dataset for elderly activity recognition and safety-controlled fall detection using wearable inertial sensors and multi-view cameras
- DOI
- 10.1016/j.dib.2026.113285
- Published
- 2026-08
- Container
- Data in Brief
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.dib.2026.113285,
title = {EVIORA-HAR: A multimodal dataset for elderly activity recognition and safety-controlled fall detection using wearable inertial sensors and multi-view cameras},
author = {Iwan Kurnianto Wibowo and Chastine Fatichah and Nanik Suciati},
year = {2026},
journal = {Data in Brief},
doi = {10.1016/j.dib.2026.113285},
url = {https://doi.org/10.1016/j.dib.2026.113285}
}RIS
TY - JOUR TI - EVIORA-HAR: A multimodal dataset for elderly activity recognition and safety-controlled fall detection using wearable inertial sensors and multi-view cameras AU - Iwan Kurnianto Wibowo AU - Chastine Fatichah AU - Nanik Suciati PY - 2026 JO - Data in Brief DO - 10.1016/j.dib.2026.113285 UR - https://doi.org/10.1016/j.dib.2026.113285 ER -
APA
Wibowo, I. K., Fatichah, C., & Suciati, N. (2026). EVIORA-HAR: A multimodal dataset for elderly activity recognition and safety-controlled fall detection using wearable inertial sensors and multi-view cameras. Data in Brief. https://doi.org/10.1016/j.dib.2026.113285
Source records
- crossref · retrieved 2026-11-05T20:08:09.229Z