2022
DOI: 10.1080/00140139.2022.2039410
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Classification of kneeling and squatting in workers wearing protective equipment: development and validation of a rule-based model using wireless triaxial accelerometers

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Cited by 2 publications
(3 citation statements)
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“…In addition, we had only access to three of eight onshore petroleum facilities in Norway. As sensors were only mounted on one side of the body, it is possible that the amount of kneeling was underestimated ( Tjøsvoll et al , 2022a ). There is also some uncertainty about the individual values for work intensity (HRR) as maximum heart rate is estimated and not measured directly through a maximal test, as this was not feasible in the current work setting.…”
Section: Discussionmentioning
confidence: 99%
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“…In addition, we had only access to three of eight onshore petroleum facilities in Norway. As sensors were only mounted on one side of the body, it is possible that the amount of kneeling was underestimated ( Tjøsvoll et al , 2022a ). There is also some uncertainty about the individual values for work intensity (HRR) as maximum heart rate is estimated and not measured directly through a maximal test, as this was not feasible in the current work setting.…”
Section: Discussionmentioning
confidence: 99%
“…Applying rule-based models, the software is capable of classifying activities and postures, such as lying, sitting, standing, walking slowly, walking fast, moving (neither standing still nor walking), running, cycling, stair climbing, arm elevation, forward bending of the trunk and kneeling with high sensitivity and specificity (≥95%) ( Korshoj et al , 2014 ; Skotte et al , 2014 ; Hallman et al , 2015 , Hendriksen et al , 2020 , Tjøsvoll et al , 2022a ). Non-wear time was classified when no movement was detected in non-sleep periods for intervals of more than one and a half hours.…”
Section: Methodsmentioning
confidence: 99%
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