A novel method for the evaluation of fashion product design based on data mining

doi:10.1007/s40436-017-0201-x

Advances in Manufacturing ›› 2017, Vol. 5 ›› Issue (4): 370-376.doi: 10.1007/s40436-017-0201-x

A novel method for the evaluation of fashion product design based on data mining

Bao-Rui Li¹, Yi Wang², Ke-Sheng Wang³

1 Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, People's Republic of China;
2 School of Business, Plymouth University, Plymouth, UK;
3 Knowledge Discovery Laboratory, Norwegian University of Science and Technology, Trondheim, Norway

收稿日期:2017-04-06 修回日期:2017-11-08 出版日期:2017-12-25 发布日期:2017-12-25
通讯作者: Yi Wang,E-mail:yi.wang@plymouth.ac.uk E-mail:yi.wang@plymouth.ac.uk

A novel method for the evaluation of fashion product design based on data mining

Bao-Rui Li¹, Yi Wang², Ke-Sheng Wang³

1 Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, People's Republic of China;
2 School of Business, Plymouth University, Plymouth, UK;
3 Knowledge Discovery Laboratory, Norwegian University of Science and Technology, Trondheim, Norway

Received:2017-04-06 Revised:2017-11-08 Online:2017-12-25 Published:2017-12-25
Contact: Yi Wang,E-mail:yi.wang@plymouth.ac.uk E-mail:yi.wang@plymouth.ac.uk

摘要/Abstract

摘要：

It is difficult to qualitatively evaluate the design effects of product appearance. Electroencephalograph (EEG) and eye-tracking data can serve as reflection of the subconscious activities of human beings. The application of advanced neuroscience technology in industrial operation management has become a new research hot spot. This study uses EEG equipment and an eye-tracking device to record a subject's brain activity and eye-gaze data, and then uses data mining methods to analyze the correlation between the two types of signals. The fuzzy theory is then applied to create a fuzzy comprehensive evaluation model. The neural attributes are used to quantify the factors affected by product appearance and evaluation indicators. We use women's shirts as research subjects for a case study. The EEG Emotiv device and Tobii mobile eye-tracking glasses are used to record a subject's brain activity and eye-gaze data in order to quantify the evaluation factors related to product appearance. This method not only scientifically evaluates the uniqueness of product appearance but also provides an objective reference for improving product appearance design.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-017-0201-x/fulltext.html

关键词: Product appearance design, Evaluation method, Data mining, Electroencephalograph (EEG), Eye tracking, Fuzzy model

Abstract:

Key words: Product appearance design, Evaluation method, Data mining, Electroencephalograph (EEG), Eye tracking, Fuzzy model

Bao-Rui Li, Yi Wang, Ke-Sheng Wang. A novel method for the evaluation of fashion product design based on data mining[J]. Advances in Manufacturing, 2017, 5(4): 370-376.

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A novel method for the evaluation of fashion product design based on data mining

A novel method for the evaluation of fashion product design based on data mining

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