TY - JOUR
T1 - Shape and layout understanding method using brain machine interface for idea creation support system
AU - Hasegawa, Hiroshi
AU - Shibasaki, Syogo
AU - Ito, Yusuke
N1 - Publisher Copyright:
© 2015 The Authors. Published by Elsevier B.V.
PY - 2015
Y1 - 2015
N2 - In conceptual design for an attractive product, the visualization of Kansei value as requirements and the realization of its value for creating product ideas are desired. Therefore, the Idea Creation Support System (ICSS)-for an idea creation with Kando understanding process through Word Of Mouth (WOM) effectiveness-has been developed. ICSS has consisted of two understanding processes, i.e., problem and Kando understanding processes. However, ICSS does not include shape and layout understanding process-which is grasping the imagined topology of mind as requirement-which is most important process as for mechanical products. In this study, we propose the shape and layout understanding method which consisted of SIMP method as a topology optimization and Kansei information understanding of topology using Electroencephalography (EEG) through Brain Machine Interface (BMI), and also discuss the system configuration of ICSS with shape and layout understanding method.
AB - In conceptual design for an attractive product, the visualization of Kansei value as requirements and the realization of its value for creating product ideas are desired. Therefore, the Idea Creation Support System (ICSS)-for an idea creation with Kando understanding process through Word Of Mouth (WOM) effectiveness-has been developed. ICSS has consisted of two understanding processes, i.e., problem and Kando understanding processes. However, ICSS does not include shape and layout understanding process-which is grasping the imagined topology of mind as requirement-which is most important process as for mechanical products. In this study, we propose the shape and layout understanding method which consisted of SIMP method as a topology optimization and Kansei information understanding of topology using Electroencephalography (EEG) through Brain Machine Interface (BMI), and also discuss the system configuration of ICSS with shape and layout understanding method.
KW - BMI
KW - Conceptual design
KW - EEG
KW - Idea Creation Support System
KW - Kansei value
KW - Topology optimization
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U2 - 10.1016/j.procs.2015.08.183
DO - 10.1016/j.procs.2015.08.183
M3 - Conference article
AN - SCOPUS:84941031843
SN - 1877-0509
VL - 60
SP - 1205
EP - 1214
JO - Procedia Computer Science
JF - Procedia Computer Science
IS - 1
T2 - 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015
Y2 - 7 September 2015 through 9 September 2015
ER -