Inception-ResNet 1-D CNN With Subject’s Physical Information for Reliable Real-Time FMCW Radar Fall Detection
- DOI
- 10.1109/access.2026.3663174
- Published
- 2026
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2026.3663174,
title = {Inception-ResNet 1-D CNN With Subject’s Physical Information for Reliable Real-Time FMCW Radar Fall Detection},
author = {Teguh Patriananda and Istiqomah and Fiky Y. Suratman},
year = {2026},
journal = {IEEE Access},
doi = {10.1109/access.2026.3663174},
url = {https://doi.org/10.1109/access.2026.3663174}
}RIS
TY - JOUR TI - Inception-ResNet 1-D CNN With Subject’s Physical Information for Reliable Real-Time FMCW Radar Fall Detection AU - Teguh Patriananda AU - Istiqomah AU - Fiky Y. Suratman PY - 2026 JO - IEEE Access DO - 10.1109/access.2026.3663174 UR - https://doi.org/10.1109/access.2026.3663174 ER -
APA
Patriananda, T., Istiqomah, & Suratman, F. Y. (2026). Inception-ResNet 1-D CNN With Subject’s Physical Information for Reliable Real-Time FMCW Radar Fall Detection. IEEE Access. https://doi.org/10.1109/access.2026.3663174
Source records
- crossref · retrieved 2026-09-25T03:51:04.613Z