Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation

A Novel Method for the Evaluation of Fashion Product Design based on Neuro analysis

Authors
Baorui Li, Kesheng Wang, Yi Wang
Corresponding Author
Baorui Li
Available Online November 2016.
DOI
10.2991/iwama-16.2016.61How to use a DOI?
Keywords
product design; evaluation method; EEG; eye tracking; fuzzy model
Abstract

It is difficult to qualitatively analyze the design effect of the product. This paper will be applying the mathematical fundamentals of the fuzzy theory to create a novel evaluation model. The neuro attributes are used to quantify the factors of affecting the product appearance and the evaluation indicators. This paper will use EEG Emotive and Tobii mobile eye tracking to monitor and acquire subject's brain activity and eye gaze to quantify evaluation factors. This method can scientifically evaluate the uniqueness of product appearance design quality, and provide objective reference for improving product design.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation
Series
Advances in Economics, Business and Management Research
Publication Date
November 2016
ISBN
10.2991/iwama-16.2016.61
ISSN
2352-5428
DOI
10.2991/iwama-16.2016.61How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Baorui Li
AU  - Kesheng Wang
AU  - Yi Wang
PY  - 2016/11
DA  - 2016/11
TI  - A Novel Method for the Evaluation of Fashion Product Design based on Neuro analysis
BT  - Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation
PB  - Atlantis Press
SP  - 317
EP  - 320
SN  - 2352-5428
UR  - https://doi.org/10.2991/iwama-16.2016.61
DO  - 10.2991/iwama-16.2016.61
ID  - Li2016/11
ER  -