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...

Full description

Bibliographic Details

Published in:	Journal of Building Engineering Vol. 35; p. 102001
Main Authors:	Sanhudo, Luís, Calvetti, Diego, Martins, João Poças, Ramos, Nuno M.M., Mêda, Pedro, Gonçalves, Miguel Chichorro, Sousa, Hipólito
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.03.2021
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!