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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20261012T210912Z
LOCATION:Summit Pavilion
DTSTART;TZID=America/Los_Angeles:20261021T173000
DTEND;TZID=America/Los_Angeles:20261021T183000
UID:HFESAM_ASPIRE 2026_sess257_POST104@linklings.com
SUMMARY:Assessment of Whole-Body and Facial Symmetry Using a 3D Human Scan
 –Based Morphological Analysis Tool
DESCRIPTION:Yeonghoon Kang (Seoul National University, Research Institute 
 of Human Ecology) and Sungmin Kim (Seoul National University; Department o
 f Fashion and Textiles, Seoul National University)\n\nA quantitative metho
 d for assessing human body symmetry using three-dimensional (3D) human sca
 n data is presented. The proposed framework integrates mesh preprocessing,
  anatomically based symmetry plane definition, bidirectional point-to-surf
 ace distance computation, regional analysis, and visualization functions. 
 The method was applied to whole-body and head scan data to examine its ope
 rational feasibility and regional applicability. To further evaluate its i
 nterpretability at the multi-subject level, torso symmetry metrics were an
 alyzed across 54 whole-body scans of women in their twenties and thirties.
  Subjects were ranked by torso root mean square (RMS) values and divided i
 nto low, moderate, and high asymmetry groups. Results showed that distribu
 tion-based descriptors, particularly RMS and the 95th percentile, provided
  more stable representations of overall asymmetry than extreme-value metri
 cs, which were more sensitive to localized posture-related variation. The 
 three RMS-based groups showed clear separation, and 95th percentile values
  also differed significantly across groups. Representative torso color map
 s revealed corresponding differences in surface deviation patterns, indica
 ting that the quantitative grouping reflected visually distinguishable mor
 phological characteristics. These findings demonstrate that the proposed f
 ramework enables consistent and interpretable symmetry assessment from 3D 
 human scan data and supports the use of symmetry metrics as design-relevan
 t descriptors in garment, protective equipment, and wearable system develo
 pment.\n\n
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