Application of Vague Geometric Representation for Shape Instance Generation of the Human Body

The objective of this research is the development of a generic model for the shape of a part of the human body. A generated instance is intended to be used in the construction of a Finite Elements model. The selected product type is a sitting support. With the help of a multiple regression model the shape of the upper leg and the buttock area are statistically described. The predictive variables for this shape generation are specific human body characteristics, which are uncertain and usually incomplete. The actual model is a vague domain defined by a set of intersection points on the distribution vectors. The measurements of the shape and specific characteristic landmarks were done with the Microscribe scanning device and the mirror box. The results include (i) a statistical analysis of the measured subject properties, (ii) the generation of the inner closure, the outer closure, and the corresponding distribution vectors, (iii) the location indices on the distribution vectors, (iv) the statistical model to generate instances.