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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135132Z
LOCATION:Grand Hall I
DTSTART;TZID=America/Chicago:20251014T135000
DTEND;TZID=America/Chicago:20251014T141000
UID:HFESAM_ASPIRE 2025_sess270_LECT656@linklings.com
SUMMARY:From Scan to Fit: A Parametric workflow for Custom-fit Mask Genera
 tion
DESCRIPTION:Lingyu Li and Roger Ball (Georgia Institute of Technology) and
  Yuanqing Tian (North Carolina State University, Georgia Institute of Tech
 nology)\n\nThis study presents a novel workflow integrating 3D scanning, p
 arametric design, and hybrid fabrication methods to develop custom-fit med
 ical masks tailored to individual facial profiles. Addressing discomfort a
 nd poor fit associated with standardized-size medical masks, the proposed 
 approach in this study uses 7 facial landmarks from 3D scanned data to gen
 erate mask models through a parametric system built in Rhinoceros and Gras
 shopper software. Mask prototypes were fabricated with 5mm EVA foam frames
  and multi-layered polypropylene filters, simulating N95 performances. Fit
  tests conducted with participants demonstrated that the custom-fit masks 
 outperformed traditional N95 masks in fit and comfort across 7 indicators.
  By validating the workflow through digital modeling and physical prototyp
 ing, this research offers a scalable and flexible method for improving mas
 k ergonomics and wearing experience. The study highlights the potential of
  custom-fit design solutions to enhance the health and well-being of medic
 al mask users, contributing to broader applications in healthcare wearable
 s and inclusive design.\n\nTrack: System Development\n\nSession Chair: Joh
 n Paul Plummer (Basic Commerce and Industries, Inc.)\n\n
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