Today there are numerous developments of 3D body scanners in the world, all aiming at achieving better garment fit for diverse consumers. However, optimum fit cannot be achieved without establishing the relationship between the fit design and the body anthropometrical data.
This paper reports on an experimental investigation on the quantitative relationship between the garment pattern design and human bodys anthropometrical data. 20 male models of varying figures were invited to have their body scanned by a Tecmath Laser Body Scanner for acquiring accurate body measurements. Furthermore, 20 classical men dressed shirts were made by a very experienced tailor to achieve optimum fit for each of them. The optimum fit was ensured by trial and error until very satisfactory results are achieved. The patterns of the shirts were then traced and its feature dimensions were then measured accurately. The feature dimensions of the shirt patterns were correlated with the body anthropometrical data by multiple linear regression and artificial neural network.
Based on this investigation, body parameters important to the fitting of shirt were determined, and the shirt pattern of optimum fit can be predicted from the body anthropometrical data obtained from a body scanner. The methodology of this work can be applied to other types of garments. This work is significant to the implementation of mass customization.
By: Chan A.P., Fan J., and Yu W.M. Institute of Textiles and Clothing, The Hong Kong Polytechnic Univer
Submit Date: 12/31/1999 20:00