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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
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Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733853/?tool=EBI |
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Classifying tasks performed by electrical line workers using a wrist-worn sensor: A data analytic approach.
Published 2022-01-01
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