Study on Imagery Modeling of Electric Recliner Chair: Based on Combined GRA and Kansei Engineering
This study aims to integrate data-driven methodologies with user perception to establish a robust design paradigm. The study consists of five steps: (1) theoretical research—a review of the subject background and applications of Kansei engineering and gray relational analysis (GRA); (2) algorithmic...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/24/13345 |
| _version_ | 1797382101850390528 |
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| author | Chengmin Zhou Lansong Jiang Jake Kaner |
| author_facet | Chengmin Zhou Lansong Jiang Jake Kaner |
| author_sort | Chengmin Zhou |
| collection | DOAJ |
| description | This study aims to integrate data-driven methodologies with user perception to establish a robust design paradigm. The study consists of five steps: (1) theoretical research—a review of the subject background and applications of Kansei engineering and gray relational analysis (GRA); (2) algorithmic framework research—the discussion delves into the intricate realm of Kansei engineering theory, accompanied by a thorough elucidation of the gray relational analysis (GRA) algorithmic framework, a crucial component in constructing a fuzzy logic model for product image modeling; (3) Kansei data collection—18 groups of perceptual words and six classic samples are selected, and the electric recliner chair samples are scored by the Kansei words; (4) Kansei data analysis—morphological analysis categorizes the electric recliner chair into four variables. followed by the ranking and key consideration areas of each area; (5) GRA fuzzy logic model verification—the GRA fuzzy logic model performs simple–complex (S-C) imagery output on 3D models of three modeling instances. By calculating the RMSE value of the seat image modeling design GRA fuzzy logic model, it is proven that the seat image modeling design GRA fuzzy logic model performs well in predicting S-C imagery. The subsequent experimental study results also show that the GRA fuzzy logic model consistently produces lower root mean square error (RMSE) values. These results indicate the efficacy of the GRA fuzzy logic approach in forecasting the visual representation of the electric recliner chair shape’s 3D model design. In summary, this research underscores the practical utility of the GRA model, harmoniously merged with perceptual engineering, in the realm of image recognition for product design. This synergy could fuel the extensive exploration of product design, examining perceptual engineering nuances in product modeling design. |
| first_indexed | 2024-03-08T21:00:38Z |
| format | Article |
| id | doaj.art-75d3b63988bf48599994a65aa6954b7f |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-08T21:00:38Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-75d3b63988bf48599994a65aa6954b7f2023-12-22T13:52:20ZengMDPI AGApplied Sciences2076-34172023-12-0113241334510.3390/app132413345Study on Imagery Modeling of Electric Recliner Chair: Based on Combined GRA and Kansei EngineeringChengmin Zhou0Lansong Jiang1Jake Kaner2College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaSchool of Art and Design, Nottingham Trent University, Nottingham NG1 4FQ, UKThis study aims to integrate data-driven methodologies with user perception to establish a robust design paradigm. The study consists of five steps: (1) theoretical research—a review of the subject background and applications of Kansei engineering and gray relational analysis (GRA); (2) algorithmic framework research—the discussion delves into the intricate realm of Kansei engineering theory, accompanied by a thorough elucidation of the gray relational analysis (GRA) algorithmic framework, a crucial component in constructing a fuzzy logic model for product image modeling; (3) Kansei data collection—18 groups of perceptual words and six classic samples are selected, and the electric recliner chair samples are scored by the Kansei words; (4) Kansei data analysis—morphological analysis categorizes the electric recliner chair into four variables. followed by the ranking and key consideration areas of each area; (5) GRA fuzzy logic model verification—the GRA fuzzy logic model performs simple–complex (S-C) imagery output on 3D models of three modeling instances. By calculating the RMSE value of the seat image modeling design GRA fuzzy logic model, it is proven that the seat image modeling design GRA fuzzy logic model performs well in predicting S-C imagery. The subsequent experimental study results also show that the GRA fuzzy logic model consistently produces lower root mean square error (RMSE) values. These results indicate the efficacy of the GRA fuzzy logic approach in forecasting the visual representation of the electric recliner chair shape’s 3D model design. In summary, this research underscores the practical utility of the GRA model, harmoniously merged with perceptual engineering, in the realm of image recognition for product design. This synergy could fuel the extensive exploration of product design, examining perceptual engineering nuances in product modeling design.https://www.mdpi.com/2076-3417/13/24/13345Kansei engineeringfurniture designfactor analysismodeling imageryelectric recliner chairgray relational analysis (GRA) |
| spellingShingle | Chengmin Zhou Lansong Jiang Jake Kaner Study on Imagery Modeling of Electric Recliner Chair: Based on Combined GRA and Kansei Engineering Applied Sciences Kansei engineering furniture design factor analysis modeling imagery electric recliner chair gray relational analysis (GRA) |
| title | Study on Imagery Modeling of Electric Recliner Chair: Based on Combined GRA and Kansei Engineering |
| title_full | Study on Imagery Modeling of Electric Recliner Chair: Based on Combined GRA and Kansei Engineering |
| title_fullStr | Study on Imagery Modeling of Electric Recliner Chair: Based on Combined GRA and Kansei Engineering |
| title_full_unstemmed | Study on Imagery Modeling of Electric Recliner Chair: Based on Combined GRA and Kansei Engineering |
| title_short | Study on Imagery Modeling of Electric Recliner Chair: Based on Combined GRA and Kansei Engineering |
| title_sort | study on imagery modeling of electric recliner chair based on combined gra and kansei engineering |
| topic | Kansei engineering furniture design factor analysis modeling imagery electric recliner chair gray relational analysis (GRA) |
| url | https://www.mdpi.com/2076-3417/13/24/13345 |
| work_keys_str_mv | AT chengminzhou studyonimagerymodelingofelectricreclinerchairbasedoncombinedgraandkanseiengineering AT lansongjiang studyonimagerymodelingofelectricreclinerchairbasedoncombinedgraandkanseiengineering AT jakekaner studyonimagerymodelingofelectricreclinerchairbasedoncombinedgraandkanseiengineering |