Activity classification using accelerometers and machine learning for complex construction worker activities

Automated Construction worker activity classification has the potential to not only benefit the worker performance in terms of productivity and safety, but also the overall project management and control. The activity-level knowledge and indicators that can be extracted from this process may support...

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Vydané v:	Journal of Building Engineering Ročník 35; s. 102001
Hlavní autori:	Sanhudo, Luís, Calvetti, Diego, Martins, João Poças, Ramos, Nuno M.M., Mêda, Pedro, Gonçalves, Miguel Chichorro, Sousa, Hipólito
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.03.2021
Predmet:	Activity classification Construction workers Productivity analysis Supervised machine learning Wearable accelerometers Supervised machine learning Productivity analysis Activity classification Wearable accelerometers Construction workers
ISSN:	2352-7102, 2352-7102
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