SENSORY PERCEPTION OF FABRICS: ANALYSIS OF TACTILE COMFORT PROPERTIES USING STATISTICAL AND ARTIFICIAL INTELLIGENCE TECHNIQUES

摘要

The relationship between mechanical and sensorial properties of textile materials, with perceived comfort is complex and non-linear. A system to analyze the aforementioned relationship using Artificial Intelligence (AI) tools is developed. Since the number of parameters that influence perceived sensation is beyond the capability of any existing model, a model-free algorithm based on a biological system of perception with the aid of neural network mapping is attempted. Mechanical properties - measured objectively using the Kawabata Evaluation System for Fabrics (KES-F) and HandFeel properties - measured subjectively using a sensory expert panel is related to the tactile comfort sensation of textile materials using AI tools. Also, brief comparison with a linear statistical approach is presented.