Abstract
This paper is proposed to extract the morphological factors of upper limb shapes related to the personalized sleeve design. The 36 items of lateral upper limb morphology were measured for 50 young female aged 19 to 22 years old by the photo measurement method. Based on the correlation relationships of morphological variables of upper limb, there are 4 morphological factors of upper limb shapes with eigenvalues above 1 were extracted by the principal component analysis, and the cumulative variance reached 83.504%. Among them, the factors of girth and height of upper limb were relevance to the girths of torso and stature respectively, and the factor of upper limb oblique angle is influenced by the upper body axis inclination, and the arm root height is interpreted as an independent factor describing the arm root shape. These morphological factors provided the references in key feature indicator sifting for upper limb shape subdivisions and the critical parameters in personalized sleeve structure designing.
Highlights
The arm full length is the only parameter about upper limb size for sleeve structure designing and grading in GB/T 1335-2008 "Standard sizing systems for garmentWoman"
The morphological factors are accounting for the differences of upper limb shape, and the typical indicators of each morphological factor are the key variables for upper limb shape subdivisions and the critical parameters in personalized sleeve structure designing
The aim of this paper is to extract the morphological factors of upper limbs by the photo measurement method for young females
Summary
The arm full length is the only parameter about upper limb size for sleeve structure designing and grading in GB/T 1335-2008 "Standard sizing systems for garmentWoman". In the theoretical research field of body type classification, the feature variables of body surface angles of torso [1,2], girth differences, girth ratios [3] are mostly used as the typical indicators for classifications of human body shape. For the morphological feature subdivision of human body [4,5], the statistical analysis methods of the feature extraction, clustering, and combination of typical indicators for describing the morphological differences of human body, which provides a direction on this research of upper limb morphological factors extraction. The morphological factors are accounting for the differences of upper limb shape, and the typical indicators of each morphological factor are the key variables for upper limb shape subdivisions and the critical parameters in personalized sleeve structure designing
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