2022
DOI: 10.1371/journal.pone.0261765
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Classifying tasks performed by electrical line workers using a wrist-worn sensor: A data analytic approach

Abstract: 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 tasks being performed. Human activity recognition has been widely used for classification for activities of daily living. However, the literature is limited for electrical line maintenance/repair tasks due to task varie… Show more

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Cited by 3 publications
(1 citation statement)
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“…To date, limited research has investigated musculoskeletal pain and discomfort in electrical utility workers, despite the significance of the electrical utilities industry and its workers to the global energy supply. The reliable delivery of energy plays a significant role in a country's economic development and is used as a metric to assess a developed nation's infrastructure (Ragani Lamooki et al, 2022). Electrical utility workers are responsible for the designing, planning, construction, and maintenance of electrical infrastructure that supports the provision of reliable energy.…”
Section: Introductionmentioning
confidence: 99%
“…To date, limited research has investigated musculoskeletal pain and discomfort in electrical utility workers, despite the significance of the electrical utilities industry and its workers to the global energy supply. The reliable delivery of energy plays a significant role in a country's economic development and is used as a metric to assess a developed nation's infrastructure (Ragani Lamooki et al, 2022). Electrical utility workers are responsible for the designing, planning, construction, and maintenance of electrical infrastructure that supports the provision of reliable energy.…”
Section: Introductionmentioning
confidence: 99%