Interpretation of Fabric Tactile Perceptions through Visual Features for Textile Products

Abstract

In this article, a systematic method based on two sensory experiments has been proposed to explore the relations between the visual and haptic perceptions of the tactile properties of a number of textile samples. The first experiment is designed to investigate to what extent fabric tactile properties could be perceived through the samples' visual representations. On this basis, the second experiment is carried out to study the mathematical relation between different sensory (visual and tactile) datasets. In this study, a new approach has been proposed based on rough inclusion degree and fuzzy inference system to deal with the sensory relations. The results show that for the discussed samples, most fabric tactile properties could be well perceived via vision. With the help of a fuzzy neural model, it is possible to predict a certain tactile property from the numerical scores of its principal visual features. PRACTICAL APPLICATIONSCompared with researches focused on the development of mechanical simulative devices, the approach proposed here is much less expensive and could provide more direct and reasonable interpretation of fabric tactile information as both two sides of the model are from sensory systems which work as a whole during perception. Based on our model, with the help of image processing techniques, visual attributes will be automatically extracted from static or dynamic images, and interpreted by our rules to fabric tactile properties. Besides, this study will serve as a fundamental to the study on virtual fitting technologies in that the manufacturers or designers will be able to actively manipulate the virtual displays of textile products to provide our consumers with the most close-to-real sense of fabric.

Multisensory Analysis of Consumer–Product Interaction During Ceramic Tile Shopping Experiences

“…This fact would be in line with the importance of touch discovered in this study when performing the sensorial and utilitarian evaluation of the materials in the purchase phase. Many works show that touch properties can be inferred from vision with relative accuracy (e.g., Xue et al, 2016), and at the same time, touching products can also improve visual processing (e.g., Pesquita et al, 2013). However, for some product attributes such as shape and texture, the use of both vision and touch does improve on the perceptions gathered when using only one of the senses (e.g., Helbig and Ernst, 2007;Klatzky and Lederman, 2010).…”

“…Researchers started with analyses of the effects of single senses (e.g., Bellizzi et al, 1983;Spangenberg et al, 1996;Yalch and Spangenberg, 1990). The focus then evolved towards the analysis of cross-modal interactions among pairs of sensory perceptions (e.g., Etzi et al, 2016;Maggioni et al, 2015;Tu et al, 2016;Wright et al, 2017;Xue et al, 2016), and an increasing number of works are appearing that consider three or more senses (Alcántara-Alcover et al, 2014;Elder and Krishna, 2010;Vilches-Montero et al, 2018). Thus, it can be said that multisensory design and marketing are now an emerging focus of study (Haverkamp, 2014) that newly cognitive neuroscience contributions can support by providing reliable rules for stimulating consumer senses in a congruent manner (Gallace and Spence, 2014).…”

Development of Mask Design Knowledge Base Based on Sensory Evaluation and Fuzzy Logic

“…The sensory evaluation has been widely used in the food industry and the automobile manufacturing industry [8]. Compared with physical measurement, the sensory evaluation method is more suitable for processing with human non-quantitative sensory perception, and it can be used as a bridge between human sensory perception and specifi c data; thus, the complex and subtle sensory perception of humans can be quantifi ed [9]. In this research, to develop a mask design knowledge, the relationship between mask perception words and mask design elements should be simulated.…”

“…[4] [5] [6] [7] [8] [9] [10] [11] [12] DEVELOPMENT OF MASK DESIGN KNOWLEDGE BASE BASED ON SENSORY EVALUATION AND FUZZY LOGIC…”

Clothing Accessory Design Based on Sensory Experience

“…Human sensory system, such as hearing, vision, taste, smell and touch, receive a great deal of information every day based on the feedback mechanism of cranial nerves (Ying et al, 2004;Xue et al, 2016). After the information is applied to the human senses, it is transmitted to the brain of the human body through the feedback mechanism of cranial nerves to produce a sensory experience.…”