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| LEADER |
01633nam a2200253Ia 4500 |
| 001 |
10.3390-app12136450 |
| 008 |
220718s2022 CNT 000 0 und d |
| 020 |
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|a 20763417 (ISSN)
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| 245 |
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|a Analysis of Healthcare Push and Pull Task via JACK: Predicted Joint Accuracy during Full-Body Simulation
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| 260 |
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|b MDPI
|c 2022
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.3390/app12136450
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|a The posture accuracy of full-body dynamic simulation has been successfully evaluated in JACK Siemens software via analyzing two common push and pull tasks. The difference in joint angles between the actual and predicted human movement directly results in the strength of force exposed on the lumbar spine. In this study, the individual factors, such as body height, body weight, trunk and hip flexion, shoulder movement, and muscle strength between genders, have shown a strong association with the adopted postures and exposed spinal forces during task performance. To provide robust ergonomics analysis, these individual variables should be adequately considered in software design for the long-term goal of injury prevention in diverse occupational workplaces. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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|a digital human modeling
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4 |
|a dynamic simulation
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| 650 |
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4 |
|a ergonomics
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| 650 |
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|a JACK Siemens software
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| 650 |
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|a posture accuracy
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| 650 |
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4 |
|a spinal force
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| 650 |
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|a Task Simulation Builder
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| 700 |
1 |
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|a Arenas, M.
|e author
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1 |
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|a Ji, X.
|e author
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1 |
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|a Liu, H.
|e author
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|a Piovesan, D.
|e author
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| 773 |
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|t Applied Sciences (Switzerland)
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