Recognition of Daily Activities Through Multi-Modal Deep Learning: A Video, Pose, and Object-Aware Approach for Ambient Assisted Living
- DOI
- 10.1007/s41666-026-00244-w
- Published
- 2026-07-24
- Container
- Journal of Healthcare Informatics Research
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s41666-026-00244-w,
title = {Recognition of Daily Activities Through Multi-Modal Deep Learning: A Video, Pose, and Object-Aware Approach for Ambient Assisted Living},
author = {Kooshan Hashemifard and Pau Climent-Pérez and Francisco Florez-Revuelta},
year = {2026},
journal = {Journal of Healthcare Informatics Research},
doi = {10.1007/s41666-026-00244-w},
url = {https://doi.org/10.1007/s41666-026-00244-w}
}RIS
TY - JOUR TI - Recognition of Daily Activities Through Multi-Modal Deep Learning: A Video, Pose, and Object-Aware Approach for Ambient Assisted Living AU - Kooshan Hashemifard AU - Pau Climent-Pérez AU - Francisco Florez-Revuelta PY - 2026 JO - Journal of Healthcare Informatics Research DO - 10.1007/s41666-026-00244-w UR - https://doi.org/10.1007/s41666-026-00244-w ER -
APA
Hashemifard, K., Climent-Pérez, P., & Florez-Revuelta, F. (2026). Recognition of Daily Activities Through Multi-Modal Deep Learning: A Video, Pose, and Object-Aware Approach for Ambient Assisted Living. Journal of Healthcare Informatics Research. https://doi.org/10.1007/s41666-026-00244-w
Source records
- crossref · retrieved 2026-11-05T20:34:36.228Z