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1 Ergebnisse
1
Sleeping Posture Classification Through a Multi-Sensing Sma..:
, In:
2024 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT)
,
D'Antoni, Federico
;
De Tommasi, Francesca
;
Bartolomei, Giampiero
... - p. 322-327 , 2024
Link:
https://doi.org/10.1109/MetroInd4.0IoT61288.2024.10584..
RT T1
2024 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT)
: T1
Sleeping Posture Classification Through a Multi-Sensing Smart Mattress Based On Fiber Bragg Grating Sensors: A Feasibility Study
UL https://suche.suub.uni-bremen.de/peid=ieee-10584179&Exemplar=1&LAN=DE A1 D'Antoni, Federico A1 De Tommasi, Francesca A1 Bartolomei, Giampiero A1 Presti, Daniela Lo A1 Vollero, Luca A1 Silvestri, Sergio A1 Schena, Emiliano A1 Merone, Mario A1 Massaroni, Carlo YR 2024 SN 2837-0872 K1 Support vector machines K1 Accuracy K1 Prevention and mitigation K1 Fiber gratings K1 Physiology K1 Convolutional neural networks K1 Task analysis K1 fiber Bragg grating sensors K1 nearable systems K1 deep learning K1 machine learning K1 multi-sensing system K1 posture recognition K1 sleep disorders SP 322 OP 327 LK http://dx.doi.org/https://doi.org/10.1109/MetroInd4.0IoT61288.2024.10584179 DO https://doi.org/10.1109/MetroInd4.0IoT61288.2024.10584179 SF ELIB - SuUB Bremen
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