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

作　　者：Bao-Rui Li Yi Wang Ke-Sheng Wang 

机构地区：[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

出　　处：《Advances in Manufacturing》2017年第4期370-376,共7页先进制造进展（英文版）

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 subcon- scious 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 appear- ance 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.It is difficult to qualitatively evaluate the design effects of product appearance. Electroencephalograph （EEG） and eye-tracking data can serve as reflection of the subcon- scious 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 appear- ance 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.

关 键 词：Product appearance design Evaluation method Data mining Electroencephalograph （EEG） Eye tracking Fuzzy model 

分 类 号：Q42[生物学—神经生物学] TB472[生物学—生理学]