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Page 1
Classifying tasks performed by electrical line workers using a wrist-worn sensor: A data analytic approach.
PLoS One. 2022 Dec 9;17(12):e0261765. doi: 10.1371/journal.pone.0261765. eCollection 2022.
PLoS One. 2022.
PMID: 36490294
Free PMC article.
Investigation of Heterogeneity Sources for Occupational Task Recognition via Transfer Learning.
Hajifar S, Lamooki SR, Cavuoto LA, Megahed FM, Sun H.
Hajifar S, et al.
Sensors (Basel). 2021 Oct 8;21(19):6677. doi: 10.3390/s21196677.
Sensors (Basel). 2021.
PMID: 34641001
Free PMC article.
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The relationship between ratings of perceived exertion (RPE) and relative strength for a fatiguing dynamic upper extremity task: A consideration of multiple cycles and conditions.
Vahedi Z, Kazemi Kheiri S, Hajifar S, Ragani Lamooki S, Sun H, Megahed FM, Cavuoto LA.
Vahedi Z, et al. Among authors: hajifar s.
J Occup Environ Hyg. 2023 Mar-Apr;20(3-4):136-142. doi: 10.1080/15459624.2023.2180512. Epub 2023 Mar 9.
J Occup Environ Hyg. 2023.
PMID: 36799881
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A data analytic end-to-end framework for the automated quantification of ergonomic risk factors across multiple tasks using a single wearable sensor.
Lamooki SR, Hajifar S, Kang J, Sun H, Megahed FM, Cavuoto LA.
Lamooki SR, et al. Among authors: hajifar s.
Appl Ergon. 2022 Jul;102:103732. doi: 10.1016/j.apergo.2022.103732. Epub 2022 Mar 12.
Appl Ergon. 2022.
PMID: 35287084
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A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensors.
Hajifar S, Sun H, Megahed FM, Jones-Farmer LA, Rashedi E, Cavuoto LA.
Hajifar S, et al.
Appl Ergon. 2021 Jan;90:103262. doi: 10.1016/j.apergo.2020.103262. Epub 2020 Sep 11.
Appl Ergon. 2021.
PMID: 32927403
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