The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 28-766
Full Name: Les Sztandera
Position: Professor
Age: ON
Sex: Male
Address: Computer Information Systems, Philadelphia University, Philadelphia, PA 19144
Country: UNITED STATES
Tel: 1-215-951-5356
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E-mail address: SztanderaL@PhilaU.edu
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Title of the Paper: Tactile Fabric Comfort Prediction using Regression Analysis
Authors as they appear in the Paper: Les Sztandera
Email addresses of all the authors: SztanderaL@PhilaU.edu
Number of paper pages: 10
Abstract: In this paper we explore complex relationships between mechanical and sensory properties of fabrics, and the perceived tactile comfort. Mechanical properties, measured objectively by Kawabata Evaluation System for Fabrics (KES-FB), and handfeel properties, measured subjectively by sensory expert panel, are related to the tactile comfort of fabrics using statistical regression approaches. A universe of 48 fabrics is examined to analyze and map the relations. The initial 17 mechanical and 17 handfeel parameter sets were reduced to 4 and 5 properties, respectively. Adjusted R2 values were 0.657 for mechanical and 0.863 for handfeel parameters, reflecting sound goodness-of-fit measures, and providing reasonable ways for prediction of tactile fabric comfort from mechanical and handfeel parameters.
Keywords: tactile perception, fabric mechanical properties, regression analysis, textile property analysis
EXTENSION of the file: .doc
Special (Invited) Session: Predicting Tactile Fabric Comfort from Mechanical and Handfeel Properties using Regression Analysis
Organizer of the Session: 603.391
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