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

Abstract:

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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:

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 et al., "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:

$35.00

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