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DTSTAMP:20240214T070244Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231213T131100
DTEND;TZID=Australia/Melbourne:20231213T132100
UID:siggraphasia_SIGGRAPH Asia 2023_sess163_papers_577@linklings.com
SUMMARY:Computational Design of Wiring Layout on Tight Suits with Minimal 
 Motion Resistance
DESCRIPTION:Technical Papers\n\nKai Wang, Xiaoyu Xu, Yinping Zheng, Da Zho
 u, and Shihui Guo (Xiamen University); Yipeng Qin (School of Computer Scie
 nce and Informatic, Cardiff University); and Xiaohu Guo (University of Tex
 as at Dallas)\n\nAn increasing number of electronics are directly embedded
  on the clothing to monitor human status (skeletal motion or electromyogra
 m activity) or provide haptic feedback.\nA specific challenge to prototype
  and fabricate such a clothing is to design the wiring layout, to minimize
  the intervention to human motion and maximize the physical robustness.\nW
 e address this challenge by formulating the topological optimization probl
 em on the clothing surface as a deformation-weighted Steiner tree problem 
 on a 3D clothing mesh.\nOur method proposed an energy function for minimiz
 ing Green strain energy in the wiring area under different motions, regula
 rized by its total length.\nWe built the physical prototype to verify the 
 effectiveness of our method and conducted user study with participants of 
 both layout design experts and smart cloth users.\nOn three types of comme
 rcial products of smart clothing, the optimized layout design reduced stre
 tching by an average of 77% among 245 actions compared to baseline design.
 \n\nRegistration Category: Full Access\n\nSession Chair: Chek Tien Tan (Si
 ngapore Institute of Technology)
URL:https://asia.siggraph.org/2023/full-program?id=papers_577&sess=sess163
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