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1 Ergebnisse
1
Feasibility of Tree-Based Machine Learning Models to Discri..:
, In:
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
,
Prisco, Giuseppe
;
Romano, Maria
;
Esposito, Fabrizio
... - p. 870-875 , 2023
Link:
https://doi.org/10.1109/MetroXRAINE58569.2023.10405830
RT T1
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
: T1
Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting
UL https://suche.suub.uni-bremen.de/peid=ieee-10405830&Exemplar=1&LAN=DE A1 Prisco, Giuseppe A1 Romano, Maria A1 Esposito, Fabrizio A1 Cesarelli, Mario A1 Santone, Antonella A1 Donisi, Leandro YR 2023 K1 Weight measurement K1 Musculoskeletal system K1 Measurement units K1 Sternum K1 Feature extraction K1 Time-domain analysis K1 Random forests K1 weight lifting K1 feature extraction K1 health monitoring K1 lifting K1 safe/unsafe posture K1 inertial measurement unit K1 wearable sensors K1 occupational ergonomics K1 machine learning K1 work-related musculoskeletal disorders SP 870 OP 875 LK http://dx.doi.org/https://doi.org/10.1109/MetroXRAINE58569.2023.10405830 DO https://doi.org/10.1109/MetroXRAINE58569.2023.10405830 SF ELIB - SuUB Bremen
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