Table 1.
The size of the swimsuit pattern (unit: cm).
Fig 1.
Five major female body types: (a) hourglass, (b) apple, (c) rectangle, (d) triangle, and (e) inverted triangle shapes.
Table 2.
Avatar sizes for five body types (unit: cm).
Fig 2.
The five swimming poses examined in this study.
(a) Overhead arm rise, (b) Forward bend, (c) T-pose, (d) Flutter kick position, and (e) Cobra pose.
Fig 3.
Schematic of the research process.
Fig 4.
Digital clothing pressure measurement by virtual try-on.
(a) Measuring points, (b) Virtual try-on, and (c) Measuring cloth pressure.
Fig 5.
Garment Fit Maps for five swimming poses and two types of fabrics (A: Nylon 80% + Spandex 20%, Polyester 80% + Spandex 20%).
Note. In each image, blue indicates lower garment pressure at the corresponding body part, green–yellow represents medium clothing pressure, and red reflects high compressive force.
Fig 6.
Enlarged front and back views with labeled pressure zones (Apple body type, overhead arm raise posture).
Table 3.
Digital clothing pressures data collected by virtual try-on.
Fig 7.
Numerical comparison of mean clothing pressure by body part according to body type (unit: kPa).
Fig 8.
Numerical comparison of mean clothing pressure by body part according to swimming pose (unit: kPa).
Table 4.
Three-way ANOVA results for effects of fabric, body type, and posture on clothing pressure.
Table 5.
Comparison of clothing pressure across different sportswear types.
Table 6.
Mannequin wear trial pressure data.
Table 7.
Repeated-measures ANOVA results comparing CLO 3D Mannequin (hourglass body type).
Fig 9.
Comparison of clothing pressure values by body region between CLO 3D simulation and Mannequin (hourglass body type).
Fig 10.
Current CLO 3D (2024.2.214 version) and proposed option 1: Setting the underwater environment.
Fig 11.
Current CLO 3D (2024.2.214 version) and proposed option 2: Providing a database of swimsuit fabric properties in a wet state.
Fig 12.
Current CLO 3D (2024.2.214 version) and proposed option 3: Adding movements.
Fig 13.
Proposed option 4: Automatically correcting differences between measured clothing pressure data and CLO 3D data.