Paper Title:
Classification and Identification of Young Females’ Shoulder Shape Using the Fisher Discriminant Analysis Based on 3D Body Measurement
  Abstract

In order to improve the fitting of garment on shoulder, the measurement of 275 young females aged from 20-24 were taken with 3D-body scanner; the position data relating to the shoulder was conducted using cluster analysis, and extracted 5 characteristic indices that contained almost information of shoulder shape; the rationality of clustering shoulder shape to 4 different types was tested and verified through using one-way analysis of variance; then established the Fisher Discriminant Analysis (FDA) model to identify the young females’ shoulder shape. The result showed that the forecasting model of Fisher Discriminant Analysis (FDA) had excellent performance, high prediction accuracy, so it provided a new method to identify young females’ shoulder shape.

  Info
Periodical
Chapter
Chapter 8: System Modeling and Simulation
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4421-4425
DOI
10.4028/www.scientific.net/AMM.121-126.4421
Citation
F. Y. Zou, J. F. Jin, J. Sun, M. Li, "Classification and Identification of Young Females’ Shoulder Shape Using the Fisher Discriminant Analysis Based on 3D Body Measurement", Applied Mechanics and Materials, Vols. 121-126, pp. 4421-4425, 2012
Online since
October 2011
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Price
$32.00
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