Predicting Tactile Fabric Comfort from Mechanical and Handfeel Properties Using Regression Analysis
نویسنده
چکیده
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 R 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. Key-Words: tactile perception, fabric mechanical properties, regression analysis, textile property analysis
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