Accession Number : ADA314053

Title :   Automated Size Prediction for Try-on U.S. Army Men's Initial Dress Uniform. Final Report Addendum.

Descriptive Note : Final rept. Jun 92-Jun 94,

Corporate Author : CLEMSON APPAREL RESEARCH FACILITY PENDLETON SC

Personal Author(s) : Staples, Nancy J. ; Davis, J. S. ; Pargas, Roy

PDF Url : ADA314053

Report Date : MAR 1996

Pagination or Media Count : 95

Abstract : The following data were collected at Fort Jackson, SC during the month of July 1992. The Chief of the CIIP, Mr. Lonnie Turner, guaranteed that all measuring that month would be done by trained CIIP employees, not by soldiers on detail. This was an attempt at getting the most accurate measurements possible. A disclaimer is in order, however, since the standard practice at the CIIP is to round up torso circumference measurements to the next integer. For example, a person measuring 42.25 in the chest was recorded as measuring 43. This imprecision caused the project team to have little confidence in the accuracy of the data. The data were important, however, in that the case-based-reasoning software had to have cases in order to build decision parameters. These were the data used to seed the Remind software tool. Their purpose was to test the usefulness of a case- based-reasoning tool for the task of size prediction in military uniforms (a stable product). The project team hoped to reseed the tool with scan data before the close of the project, but the scanner was not ready. In order for the size prediction tool to be useful, equivalent cases using scan data should be used to seed Remind%. Using the knowledge gained in the learning curve studies (for determining the necessary number of cases needed for useful prediction), a rule-based size prediction scheme, which runs faster than case-based, could then be developed.

Descriptors :   *SIZES(DIMENSIONS), *MILITARY APPLICATIONS, *UNIFORMS, SCANNING, COMPUTER PROGRAMS, MEASUREMENT, STABILITY, AUTOMATION, DECISION MAKING, PREDICTIONS, TOOLS, PARAMETERS, TEAMS(PERSONNEL), ACCURACY, MALES, CLOTHING, CONFIDENCE LEVEL, LEARNING CURVES.

Subject Categories : Logistics, Military Facilities and Supplies

Distribution Statement : APPROVED FOR PUBLIC RELEASE