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Design of a Database-Driven Kansei Feedback Control System Using a Hydraulic Excavators Simulator
Author(s) -
Takuya Kinoshita,
Hiroaki Ikeda,
Toru Yamamoto,
Maro G. Machizawa,
Kiyokazu Tanaka,
Yoichiro Yamazaki
Publication year - 2020
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2020.p0652
Subject(s) - kansei , happiness , kansei engineering , computer science , excavator , controller (irrigation) , control (management) , simulation , control engineering , artificial intelligence , engineering , human–computer interaction , psychology , mechanical engineering , social psychology , agronomy , biology
In Japan, the level of happiness is considered low despite the gross domestic product (GDP) being high, and a wide gap separates “products wealth” related to GDP and “mental wealth such as Kansei” related to the level of happiness. To fill this gap, products should be controlled to enhance Kansei according to human feelings. However, it is difficult to obtain the Kansei model because of time-variant and nonlinear system. In this paper, the design of a data-oriented cascade control system based on Kansei is newly proposed. In particular, a database-driven controller is designed for a human based on Kansei. The effectiveness of the proposed scheme is verified by using the electroencephalograph (EEG).

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