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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Bibliographic Details
Main Authors:	Saeb Ragani Lamooki, Sahand Hajifar, Jacqueline Hannan, Hongyue Sun, Fadel Megahed, Lora Cavuoto
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2022-01-01
Series:	PLoS ONE
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733853/?tool=EBI

Classifying tasks performed by electrical line workers using a wrist-worn sensor: A data analytic approach. by Saeb Ragani Lamooki, Sahand Hajifar, Jacqueline Hannan, Hongyue Sun, Fadel Megahed, Lora Cavuoto

Published 2022-01-01

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Article

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

Classifying tasks performed by electrical line workers using a wrist-worn sensor: A data analytic approach. by Saeb Ragani Lamooki, Sahand Hajifar, Jacqueline Hannan, Hongyue Sun, Fadel Megahed, Lora Cavuoto

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