The Tactile Sensory Evaluation of Knitted Fabrics: Effect of Some Finishing Treatments

Jeguirim, Selsabil El-Ghezal; Dhouib, Amal Babay; Sahnoun, Mehdi; Cheikhrouhou, Morched; Njeugna, Nicole; Schacher, Laurence; Adolphe, Dominique

doi:10.1111/j.1745-459x.2009.00251.x

Cited by 27 publications

(15 citation statements)

References 17 publications

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“…In recent years, sensory evaluation techniques have been applied and developed in a wide range of industrial fields including textile industry (Meilgaard et al 2006). In particular, Sensory evaluation has been extensively used in fabric hand studies (Jeguirim et al 2010;Rombaldoni et al 2010;Nawaz et al 2011;Pens e-Lh eritier et al 2012) and aesthetic (appearance) assessments of textile products (Soda et al 2008;Zhu et al 2010;Kamalha et al 2013;Chen et al 2014). But few sensory studies have concerned extracting fabric tactile information from visual perceptions.…”

Section: Introductionmentioning

confidence: 99%

Interpretation of Fabric Tactile Perceptions through Visual Features for Textile Products

Xue

Zeng

Koehl

et al. 2016

Journal of Sensory Studies

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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.

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Section: Introductionmentioning

confidence: 99%

Interpretation of Fabric Tactile Perceptions through Visual Features for Textile Products

Xue

Zeng

Koehl

et al. 2016

Journal of Sensory Studies

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“…1997; Aliouche and Viallier 2000; Hollins and Risner 2000; Bergmann Tiest and Kappers 2006; Pensé‐Lhéritier et al . 2006; Jeguirim et al . 2010).…”

Section: Introductionmentioning

confidence: 99%

Consumer Preference for Tactile Softness: A Question of Affect Intensity?

Kergoat

Giboreau

Nicod³

et al. 2012

Journal of Sensory Studies

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Previous studies have shown that consumers with higher affect intensity expressed stronger preferences for softer car seat fabrics (Kergoat et al.). The present research aims to consolidate and expand these results. Across two studies, we attempt to determine whether the intensity of affect (as measured by the affect intensity measure; Larsen) is a more general construct involved in soft textile preferences. Through the evaluation of two product categories (car seat fabrics and washed‐shirt fabrics) and the manipulation of product sensory attributes, we were able to establish that affect intensity components (positive intensity and negative reactivity) play a role in soft textile preferences, independent of the product category. The highest predictive value of particular affect intensity components for softness preference is discussed in line with the multidimensional approach of the affect intensity construct (Bryant et al.). PRACTICAL APPLICATIONS This research highlights the significance of one emotional individual difference dimension (affect intensity) accounting for consumer tactile sensory preferences. Practically, it offers a way to characterize clusters of heterogeneous tactile sensory preferences observed in consumer tests. Furthermore, it represents a step in the understanding of underlying processes involved in soft tactile sensory preferences. We can assume these implications are not limited to the sense of touch and/or non‐food products. As a general emotional variable, the affect intensity construct must play a role in various blind sensory evaluation settings and be a significant tool for a typology of consumers.

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“…Then, datasets of 90 mechanical properties were converted into 2 (PCA results)*6 (samples)= 12 datasets using principal component analysis (PCA). PCA is used for the data reduction technique without losing an important information from the original source [20,21]. The outputs for ANFIS design were the average scores of the seven bipolar tactile score values for each sample ( Table 2).…”

Section: Methodsmentioning

confidence: 99%

Tactile Comfort Prediction of Functional Fabrics from Instrumental Data Using Intelligence Systems

et al. 2019

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This article is published with open access at Springerlink.comAbstract: Subjective and objective evaluations of the handle of textile materials are very important to describe its tactile comfort for next-to-skin goods. In this paper, the applicability of artificial neural-network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) modeling approaches for the prediction of the psychological perceptions of functional fabrics from mechanical properties were investigated. Six distinct functional fabrics were evaluated using human subjects for their tactile score and total hand values (THV) using tactile and comfort-based fabric touch attributes. Then, the measurement of mechanical properties of the same set of samples using KES-FB was performed. The RMSE values for ANN and ANFIS predictions were 0.014 and 0.0122 and are extremely lower than the variations of the perception scores of 0.644 and 0.85 for ANN and ANFIS, respectively with fewer prediction errors. The observed results indicated that the predicted tactile score and THV are almost very close to the actual output obtained using the human judgment. Fabric objective measurement technology, therefore, provides reliable measurement approaches for functional fabric quality inspection, control, and design specification.

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The Tactile Sensory Evaluation of Knitted Fabrics: Effect of Some Finishing Treatments

Cited by 27 publications

References 17 publications

Interpretation of Fabric Tactile Perceptions through Visual Features for Textile Products

Interpretation of Fabric Tactile Perceptions through Visual Features for Textile Products

Consumer Preference for Tactile Softness: A Question of Affect Intensity?

Tactile Comfort Prediction of Functional Fabrics from Instrumental Data Using Intelligence Systems

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