Computational Design of Kinesthetic Garments

Velko Vechev; Juan Zarate; Bernhard Thomaszewski; Otmar Hilliges

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arXiv · 2204.09996

Computational Design of Kinesthetic Garments

Velko Vechev·Juan Zarate·Bernhard Thomaszewski·Otmar Hilliges

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Abstract

Kinesthetic garments provide physical feedback on body posture and motion through tailored distributions of reinforced material. Their ability to selectively stiffen a garment's response to specific motions makes them appealing for rehabilitation, sports, robotics, and many other application fields. However, finding designs that distribute a given amount of reinforcement material to maximally stiffen the response to specified motions is a challenging problem. In this work, we propose an optimization-driven approach for automated design of reinforcement patterns for kinesthetic garments. Our main contribution is to cast this design task as an on-body topology optimization problem. Our method allows designers to explore a continuous range of designs corresponding to various amounts of reinforcement coverage. Our model captures both tight contact and lift-off separation between cloth and body. We demonstrate our method on a variety of reinforcement design problems for different body sites and motions. Optimal designs lead to a two- to threefold improvement in performance in terms of energy density. A set of manufactured designs were consistently rated as providing more resistance than baselines in a comparative user study

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BibTeX RIS

Velko Vechev, Juan Zarate, Bernhard Thomaszewski, Otmar Hilliges. 2022-04-21. Computational Design of Kinesthetic Garments. https://arxiv.org/abs/2204.09996

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