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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...
Autores principales: | Ragani Lamooki, Saeb, Hajifar, Sahand, Hannan, Jacqueline, Sun, Hongyue, Megahed, Fadel, Cavuoto, Lora |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
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 |
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