- Titel:
Few-Shot User-Adaptable Radar-Based Breath Signal Sensing
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Mauro, Gianfranco ; De Carlos Diez, Maria ; Ott, Julius ; Servadei, Lorenzo ; Cuellar, Manuel P. ; Morales-Santos, Diego P.
- Stichworte:
- Article ; vital sign sensing ; respiration signal ; artificial neural networks ; meta-learning ; radar ; FMCW ; few-shot learning ; autocorrelation ; variational autoencoder ; signal processing
- Zeitschriftentitel:
- Sensors
- Jahr:
- 2023
- Band / Volume:
- 23
- Heft / Issue:
- 2
- Volltext / DOI:
- doi:10.3390/s23020804
- Verlag / Institution:
- MDPI
- E-ISSN:
- 1424-8220
- Publikationsdatum:
- 10.01.2023
- CC-Lizenz:
- by, https://creativecommons.org/licenses/by/4.0
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- BibTeX