Fabric Tactile Prediction Method Based on Spider Diagram
The detection and quantification of fabric tactile sensations are crucial in textile production and marketing as they are closely linked to textile comfort and serve as key criteria for consumers when selecting fabrics. Previous studies have predominantly focused on measuring the physical properties...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/10/3187 |
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| author | Ruifeng Xie Shuyang Ding Zeyu Cheng Luowei Ma Yanzhu Yang |
| author_facet | Ruifeng Xie Shuyang Ding Zeyu Cheng Luowei Ma Yanzhu Yang |
| author_sort | Ruifeng Xie |
| collection | DOAJ |
| description | The detection and quantification of fabric tactile sensations are crucial in textile production and marketing as they are closely linked to textile comfort and serve as key criteria for consumers when selecting fabrics. Previous studies have predominantly focused on measuring the physical properties of fabrics, often neglecting correlations between these parameters and tactile sensations. This oversight complicates customers’ ability to assess the tactile experience of fabrics during online purchasing. This study first obtained subjective evaluations of three types of fabric tactile sensations through experiments involving volunteer participants. Subsequently, five objective physical properties that characterize fabric tactile properties were proposed and experimentally tested on 15 fabric samples categorized by yarn weight, weave pattern, and material. A fabric tactile spider diagram was created by normalizing the values of the five physical properties across the 15 fabric samples. The grading of the physical properties was then performed based on the proposed evaluation index. These spider diagrams were compared with the subjective evaluation results to analyze the physical properties that most significantly influenced subjective perception, ultimately leading to the development of a highly reliable fabric touch prediction model. |
| format | Article |
| id | doaj-art-99f0dd1cc33a474780204e6b37b60ed8 |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-99f0dd1cc33a474780204e6b37b60ed82025-08-20T02:34:02ZengMDPI AGSensors1424-82202025-05-012510318710.3390/s25103187Fabric Tactile Prediction Method Based on Spider DiagramRuifeng Xie0Shuyang Ding1Zeyu Cheng2Luowei Ma3Yanzhu Yang4College of Mechanical Engineering, Donghua University, Shanghai 201620, ChinaCollege of Mechanical Engineering, Donghua University, Shanghai 201620, ChinaCollege of Mechanical Engineering, Donghua University, Shanghai 201620, ChinaCollege of Mechanical Engineering, Donghua University, Shanghai 201620, ChinaCollege of Mechanical Engineering, Donghua University, Shanghai 201620, ChinaThe detection and quantification of fabric tactile sensations are crucial in textile production and marketing as they are closely linked to textile comfort and serve as key criteria for consumers when selecting fabrics. Previous studies have predominantly focused on measuring the physical properties of fabrics, often neglecting correlations between these parameters and tactile sensations. This oversight complicates customers’ ability to assess the tactile experience of fabrics during online purchasing. This study first obtained subjective evaluations of three types of fabric tactile sensations through experiments involving volunteer participants. Subsequently, five objective physical properties that characterize fabric tactile properties were proposed and experimentally tested on 15 fabric samples categorized by yarn weight, weave pattern, and material. A fabric tactile spider diagram was created by normalizing the values of the five physical properties across the 15 fabric samples. The grading of the physical properties was then performed based on the proposed evaluation index. These spider diagrams were compared with the subjective evaluation results to analyze the physical properties that most significantly influenced subjective perception, ultimately leading to the development of a highly reliable fabric touch prediction model.https://www.mdpi.com/1424-8220/25/10/3187fabric touchtextilesfabric physical propertiespredictive modeling |
| spellingShingle | Ruifeng Xie Shuyang Ding Zeyu Cheng Luowei Ma Yanzhu Yang Fabric Tactile Prediction Method Based on Spider Diagram Sensors fabric touch textiles fabric physical properties predictive modeling |
| title | Fabric Tactile Prediction Method Based on Spider Diagram |
| title_full | Fabric Tactile Prediction Method Based on Spider Diagram |
| title_fullStr | Fabric Tactile Prediction Method Based on Spider Diagram |
| title_full_unstemmed | Fabric Tactile Prediction Method Based on Spider Diagram |
| title_short | Fabric Tactile Prediction Method Based on Spider Diagram |
| title_sort | fabric tactile prediction method based on spider diagram |
| topic | fabric touch textiles fabric physical properties predictive modeling |
| url | https://www.mdpi.com/1424-8220/25/10/3187 |
| work_keys_str_mv | AT ruifengxie fabrictactilepredictionmethodbasedonspiderdiagram AT shuyangding fabrictactilepredictionmethodbasedonspiderdiagram AT zeyucheng fabrictactilepredictionmethodbasedonspiderdiagram AT luoweima fabrictactilepredictionmethodbasedonspiderdiagram AT yanzhuyang fabrictactilepredictionmethodbasedonspiderdiagram |