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VALIDATION OF 'FEMALE FIGURE IDENTIFICATION TECHNIQUE (FFIT) FOR APPAREL  ' SOFTWARE

VALIDATION OF 'FEMALE FIGURE IDENTIFICATION TECHNIQUE (FFIT) FOR APPAREL  ' SOFTWARE,Priya Devarajan

VALIDATION OF 'FEMALE FIGURE IDENTIFICATION TECHNIQUE (FFIT) FOR APPAREL  ' SOFTWARE   (Citations: 5)
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The software "Female Figure Identification Technique (FFIT) for Apparel' was developed at North Carolina State University, College of Textiles as a starting point to classify females based on their body shapes. The nine body shapes identified in the software could be used effectively to implement mass customization strategies in the apparel retail industry. In addition the shapes could be used in developing new sizing standards for the apparel industry. The software was built using a convenience sample of 253 female subjects primarily from the state of North Carolina. This study was developed to validate the software using a larger population. Multivariate statistical methods of discriminant analysis and Multivariate Analysis of Variance (MANOVA) were used for the validation process. The percentage accuracy of the FFIT for Apparel © software was found to be around 90% and was better than the discriminant function developed from the training sample used to build the software. During the validation process, the scans were visually analyzed and many interesting details throwing light on the influence of body scan data on shape analysis were found.
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