Computational design of wiring layout on tight suits with minimal motion resistance

Wang, Kai, Xu, Xiaoyu, Zheng, Yinping, Zhou, Da, Guo, Shihui, Qin, Yipeng ORCID: https://orcid.org/0000-0002-1551-9126 and Guo, Xiaohu 2023. Computational design of wiring layout on tight suits with minimal motion resistance. Presented at: The 16th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH ASIA 2023), Sydney, Australia, 12 - 15 December 2023. Published in: Kim, June, Lin, Ming C. and Bickel, Bernd eds. SA '23: SIGGRAPH Asia 2023 Conference Papers. New York: Association for Computing Machinery, pp. 1-12. 10.1145/3610548.3618200

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Abstract

An increasing number of electronics are directly embedded on the clothing to monitor human status (e.g., skeletal motion) or provide haptic feedback. A specific challenge to prototype and fabricate such a clothing is to design the wiring layout, while minimizing the intervention to human motion. We address this challenge by formulating the topological optimization problem on the clothing surface as a deformation-weighted Steiner tree problem on a 3D clothing mesh. Our method proposed an energy function for minimizing strain energy in the wiring area under different motions, regularized by its total length. We built the physical prototype to verify the effectiveness of our method and conducted user study with participants of both design experts and smart cloth users. On three types of commercial products of smart clothing, the optimized layout design reduced wire strain energy by an average of 77% among 248 actions compared to baseline design, and 18% over the expert design.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Association for Computing Machinery
ISBN:	9798400703157
Date of First Compliant Deposit:	25 September 2023
Date of Acceptance:	4 August 2023
Last Modified:	15 Nov 2024 10:27
URI:	https://orca.cardiff.ac.uk/id/eprint/162390

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