Body Measurements Forecast Based on Factor Analysis and Radical Basis Function Net

Abstract:

For acquiring the body measurements precisely and conveniently, this paper presents a forecast method with character parameters. The character parameters are chosen based on factor analysis. The nonlinear model based on radical basis function net builds the correlation between the character parameters and the detailed measurements. Through measuring a few character parameters easily we can obtain the whole body detailed sizes. This technology can be used in and benefit the clothing manufacture and human modeling.

• Periodical: Applied Mechanics and Materials (Volume 328)
• Pages: 89-92
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.328.89
• Online since: June 2013
• Authors: Zheng Liu, Ji Tuo Li, Guang Chen, Guo Dong Lu
• Keywords: Body Measurements Forecast, Factor Analysis (FA), Radical Basis Function Net

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