| 摘要 |
This paper takes analysis of the upper body type of young men in China
aiming to give some implications for shirt design. According to the characters of sample
shape, extract the key control variable to conduct size classification, and at the same
time, take a detailed analysis to several important area of the upper body shape. The
specific content is as follows: 1) Twenty six upper body measurements obtained from
body scanner were designed for analysis. Firstly, R-type cluster analysis was carried
out on the measured data, and it is concluded that the twenty six indexes could be
clustered into five classes. 2) Then a multiple linear regression model was established
which could be applied to the predict the specific body parts. In order to get the optimal
predict results, next we choose the best regression equation using various statistical
criterion such as Residual Mean Square(RMSq), Mallows . From the best regression
model, detail size of body can be deduced. The data from the prediction model are
precise, which can make the garment pattern more precise and suitable. The results can
also provide the body foundation for some empirical formulas in shirt pattern design. |