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BEGIN:VEVENT
DTSTAMP:20260114T163646Z
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:Kai Wang, Xiaoyu Xu, Yinping Zheng, Da Zhou, and Shihui Guo (X
 iamen University); Yipeng Qin (School of Computer Science and Informatic, 
 Cardiff University); and Xiaohu Guo (University of Texas at Dallas)\n\nAn 
 increasing number of electronics are directly embedded on the clothing to 
 monitor human status (skeletal motion or electromyogram activity) or provi
 de 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.\nWe address this chall
 enge by formulating the topological optimization problem on the clothing s
 urface as a deformation-weighted Steiner tree problem on a 3D clothing mes
 h.\nOur method proposed an energy function for minimizing Green strain ene
 rgy in the wiring area under different motions, regularized by its total l
 ength.\nWe built the physical prototype to verify the effectiveness of our
  method and conducted user study with participants of both layout design e
 xperts and smart cloth users.\nOn three types of commercial products of sm
 art clothing, the optimized layout design reduced stretching by an average
  of 77% among 245 actions compared to baseline design.\n\nRegistration Cat
 egory: Full Access\n\nSession Chair: Chek Tien Tan (Singapore Institute of
  Technology, Centre for Immersification)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_577&sess=sess163
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