Presentation
Assessment of Whole-Body and Facial Symmetry Using a 3D Human Scan–Based Morphological Analysis Tool
SessionWednesday Poster Session
DescriptionA quantitative method for assessing human body symmetry using three-dimensional (3D) human scan data is presented. The proposed framework integrates mesh preprocessing, anatomically based symmetry plane definition, bidirectional point-to-surface distance computation, regional analysis, and visualization functions. The method was applied to whole-body and head scan data to examine its operational feasibility and regional applicability. To further evaluate its interpretability at the multi-subject level, torso symmetry metrics were analyzed across 54 whole-body scans of women in their twenties and thirties. Subjects were ranked by torso root mean square (RMS) values and divided into low, moderate, and high asymmetry groups. Results showed that distribution-based descriptors, particularly RMS and the 95th percentile, provided more stable representations of overall asymmetry than extreme-value metrics, 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 maps revealed corresponding differences in surface deviation patterns, indicating that the quantitative grouping reflected visually distinguishable morphological characteristics. These findings demonstrate that the proposed framework enables consistent and interpretable symmetry assessment from 3D human scan data and supports the use of symmetry metrics as design-relevant descriptors in garment, protective equipment, and wearable system development.
Event Type
Poster
TimeWednesday, October 21st5:30pm - 6:30pm PDT
LocationSummit Pavilion