A generic algorithm for computing optimal ergonomic postures during working in an industrial environment
The present study tries to decrease the risk of work-related musculoskeletal disorders for industry workers by proposing a generic algorithm that recommends an optimal ergonomic posture for accomplishing tasks in an industrial environment. In the case of a dangerous ergonomic pose, the optimization...
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| Published in | International journal of industrial ergonomics Vol. 84; p. 103145 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
01.07.2021
Elsevier BV |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0169-8141 1872-8219 1872-8219 |
| DOI | 10.1016/j.ergon.2021.103145 |
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| Abstract | The present study tries to decrease the risk of work-related musculoskeletal disorders for industry workers by proposing a generic algorithm that recommends an optimal ergonomic posture for accomplishing tasks in an industrial environment. In the case of a dangerous ergonomic pose, the optimization algorithm starts by heuristically changing it to a more ergonomic one. Each recommended posture's feasibility is tested with an inverse kinematic method that can predict the worker's behavior for accomplishing a task. This iterative optimization procedure continues until the optimal ergonomic pose for the worker is achieved. The algorithm's validity is tested in thirteen cases, people with different gender (50 percent male, 50 percent female) aged between 20 and 35, and different height and body morphologies. According to studies, there is a connection between musculoskeletal disorders and the wrong posture for accomplishing tasks in industries. We suggest an optimization algorithm that can indicate the worker the optimal ergonomic pose by considering task constraints in real-time.
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•The postural optimization algorithm can show the correct way of doing a task for industrial workers.•Worker's ergonomic condition is assessed via motion capture devices, and the algorithm offers them a more ergonomic posture.•The validity of the algorithm tested on a dataset consisting of different people with different body morphologies.•The algorithm can be used in the control loop of exoskeletons or collaborative robots. |
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| AbstractList | The present study tries to decrease the risk of work-related musculoskeletal disorders for industry workers by proposing a generic algorithm that recommends an optimal ergonomic posture for accomplishing tasks in an industrial environment. In the case of a dangerous ergonomic pose, the optimization algorithm starts by heuristically changing it to a more ergonomic one. Each recommended posture's feasibility is tested with an inverse kinematic method that can predict the worker's behavior for accomplishing a task. This iterative optimization procedure continues until the optimal ergonomic pose for the worker is achieved. The algorithm's validity is tested in thirteen cases, people with different gender (50 percent male, 50 percent female) aged between 20 and 35, and different height and body morphologies. According to studies, there is a connection between musculoskeletal disorders and the wrong posture for accomplishing tasks in industries. We suggest an optimization algorithm that can indicate the worker the optimal ergonomic pose by considering task constraints in real-time. The present study tries to decrease the risk of work-related musculoskeletal disorders for industry workers by proposing a generic algorithm that recommends an optimal ergonomic posture for accomplishing tasks in an industrial environment. In the case of a dangerous ergonomic pose, the optimization algorithm starts by heuristically changing it to a more ergonomic one. Each recommended posture's feasibility is tested with an inverse kinematic method that can predict the worker's behavior for accomplishing a task. This iterative optimization procedure continues until the optimal ergonomic pose for the worker is achieved. The algorithm's validity is tested in thirteen cases, people with different gender (50 percent male, 50 percent female) aged between 20 and 35, and different height and body morphologies. According to studies, there is a connection between musculoskeletal disorders and the wrong posture for accomplishing tasks in industries. We suggest an optimization algorithm that can indicate the worker the optimal ergonomic pose by considering task constraints in real-time. [Display omitted] •The postural optimization algorithm can show the correct way of doing a task for industrial workers.•Worker's ergonomic condition is assessed via motion capture devices, and the algorithm offers them a more ergonomic posture.•The validity of the algorithm tested on a dataset consisting of different people with different body morphologies.•The algorithm can be used in the control loop of exoskeletons or collaborative robots. |
| ArticleNumber | 103145 |
| Author | Verstraten, Tom Van De Perre, Greet Vanderborght, Bram El Makrini, Ilias Merikh-Nejadasl, Atieh |
| Author_xml | – sequence: 1 givenname: Atieh surname: Merikh-Nejadasl fullname: Merikh-Nejadasl, Atieh email: atieh.merikh.nejadasl@vub.be organization: Robotics and Multibody Research Group, Vrije Universiteit Brussels and Flanders Make, Belgium – sequence: 2 givenname: Ilias orcidid: 0000-0002-9980-517X surname: El Makrini fullname: El Makrini, Ilias organization: Robotics and Multibody Research Group, Vrije Universiteit Brussels and Flanders Make, Belgium – sequence: 3 givenname: Greet surname: Van De Perre fullname: Van De Perre, Greet organization: Robotics and Multibody Mechanics Research Group, Vrije Universiteit Brussel and imec, Belgium – sequence: 4 givenname: Tom surname: Verstraten fullname: Verstraten, Tom organization: Robotics and Multibody Research Group, Vrije Universiteit Brussels and Flanders Make, Belgium – sequence: 5 givenname: Bram surname: Vanderborght fullname: Vanderborght, Bram organization: Robotics and Multibody Mechanics Research Group, Vrije Universiteit Brussel and imec, Belgium |
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| Cites_doi | 10.1109/MRA.2018.2815947 10.1016/j.simpat.2004.12.004 10.1016/j.ergon.2012.07.003 10.1080/00140130120716 10.1016/j.apergo.2013.12.001 10.1214/aoms/1177704472 10.1016/j.gmod.2011.05.003 10.1016/j.berh.2015.08.002 10.1016/j.ergon.2016.11.011 10.1037/0003-066X.45.10.1146 10.1080/00140130210127639 10.1002/cav.1630 10.1016/S0169-8141(01)00056-7 10.1016/S0003-6870(99)00039-3 10.1007/s12369-010-0059-6 10.1016/0169-8141(94)00088-K 10.1080/1463922X.2012.678283 10.1016/j.proeng.2015.01.494 10.1016/0003-6870(93)90080-S 10.1177/0018720819889534 10.1109/JRA.1987.1087111 10.1109/LRA.2017.2729666 |
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| SubjectTerms | Algorithms Disorders Ergonomic optimization Ergonomics FABRIK Inverse kinematic Iterative methods Morphology Musculoskeletal diseases Optimization Posture Python REBA Risk reduction |
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| Title | A generic algorithm for computing optimal ergonomic postures during working in an industrial environment |
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