TY - JOUR
T1 - Classification and Regression Modelling of Abdominal Convexity Morphology in Middle-Aged and Elderly Women
AU - Yan , Yi-Jia
AU - Zhong , An-Hua
AU - Tu , Jing-Wen
JO - Journal of Fiber Bioengineering and Informatics
VL - 1
SP - 45
EP - 55
PY - 2023
DA - 2023/10
SN - 16
DO - http://doi.org/10.3993/jfbim02161
UR - https://global-sci.org/intro/article_detail/jfbi/22059.html
KW - Body Classification
KW - Abdominal Convexity
KW - Middle-aged and Elderly Women
KW - Shape parameter
KW - Regression Modelling
KW - Cluster Analysis
AB - <p style="text-align: justify;">Abdominal protrusion is increasingly common among middle-aged and elderly women, and the current
standard sizing system fails to properly their body shape change. To improve the classification of
abdominal bulge morphology in middle-aged and elderly women and enhance the garment fit, this
paper screened 133 samples with abdominal bulge among 165 Chinese women aged 50-59 years old
based on 3D anthropometric techniques and obtained abdominal morphological dimensions. Five main
morphology parameters affecting abdominal convexity were summarized, and the abdominal morphology
was classified into four types for simulation. The abdominal regression models and girth fitting models
were established and validated by combining the feature indexes related to pants. Results showed that
each abdominal convexity type has obvious and specific clustering characteristics, and the regression
models are valid and practical for personalized clothing development.</p>