Classifying tasks performed by electrical line workers using a wrist-worn sensor: A data analytic approach

Electrical line workers (ELWs) experience harsh environments, characterized by long shifts, remote operations, and potentially risky tasks. Wearables present an opportunity for unobtrusive monitoring of productivity and safety. A prerequisite to monitoring is the automated identification of the task...

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Detalles Bibliográficos
Autores principales: Ragani Lamooki, Saeb, Hajifar, Sahand, Hannan, Jacqueline, Sun, Hongyue, Megahed, Fadel, Cavuoto, Lora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733853/
https://www.ncbi.nlm.nih.gov/pubmed/36490294
http://dx.doi.org/10.1371/journal.pone.0261765

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733853/
https://www.ncbi.nlm.nih.gov/pubmed/36490294
http://dx.doi.org/10.1371/journal.pone.0261765

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