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|a 10.1109/TVCG.2021.3112127
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|a eng
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1 |
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|a Zhao, Danyong
|e verfasserin
|4 aut
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|a ERGOBOSS
|b Ergonomic Optimization of Body-Supporting Surfaces
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|c 2021
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|a Date Revised 20.02.2024
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|a Citation Status Publisher
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|a Humans routinely sit or lean against supporting surfaces and it is important to shape these surfaces to be comfortable and ergonomic. We give a method to design the geometric shape of rigid supporting surfaces to maximize the ergonomics of physically based contact between the surface and a deformable human. We model the soft deformable human using a layer of FEM deformable tissue surrounding a rigid core, with measured realistic elastic material properties, and large-deformation nonlinear analysis. We define a novel cost function to measure the ergonomics of contact between the human and the supporting surface. We give a stable and computationally efficient contact model that is differentiable with respect to the supporting surface shape. This makes it possible to optimize our ergonomic cost function using gradient-based optimizers. Our optimizer produces supporting surfaces superior to prior work on ergonomic shape design. Our examples include furniture, apparel and tools. We also validate our results by scanning a real human subject's foot and optimizing a shoe sole shape to maximize foot contact ergonomics. We 3D-print the optimized shoe sole, measure contact pressure using pressure sensors, and demonstrate that the real unoptimized and optimized pressure distributions qualitatively match those predicted by our simulation
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|a Li, Yijing
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|a Langlois, Timothy
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Chaudhuri, Siddhartha
|e verfasserin
|4 aut
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| 700 |
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|a Barbic, Jernej
|e verfasserin
|4 aut
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|t IEEE transactions on visualization and computer graphics
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|u http://dx.doi.org/10.1109/TVCG.2021.3112127
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