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JRM Vol.32 No.3 pp. 652-661
doi: 10.20965/jrm.2020.p0652
(2020)

Paper:

Design of a Database-Driven Kansei Feedback Control System Using a Hydraulic Excavators Simulator

Takuya Kinoshita*1, Hiroaki Ikeda*2, Toru Yamamoto*1, Maro G. Machizawa*3, Kiyokazu Tanaka*4, and Yoichiro Yamazaki*4

*1Graduate School of Advanced Science and Engineering, Hiroshima University
1-4-1 Kagamiyama, Higashi-hiroshima, Hiroshima 739-8527, Japan

*2Graduate School of Engineering, Hiroshima University
1-4-1 Kagamiyama, Higashi-hiroshima, Hiroshima 739-8527, Japan

*3Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University
1-2-3 Kasumi, Minami-ku, Hiroshima 734-8553, Japan

*4KOBELCO Construction Machinery Co., Ltd.
Osaki Bright Core Bldg., 5-15 Kitashinagawa 5-chome, Shinagawa-ku, Tokyo 141-8626, Japan

Received:
July 11, 2019
Accepted:
March 16, 2020
Published:
June 20, 2020
Keywords:
Kansei, database-driven control, cascade control, nonlinear system
Abstract
Design of a Database-Driven Kansei Feedback Control System Using a Hydraulic Excavators Simulator

Block diagram of the proposed Kansei feedback control system

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).

Cite this article as:
T. Kinoshita, H. Ikeda, T. Yamamoto, M. Machizawa, K. Tanaka, and Y. Yamazaki, “Design of a Database-Driven Kansei Feedback Control System Using a Hydraulic Excavators Simulator,” J. Robot. Mechatron., Vol.32, No.3, pp. 652-661, 2020.
Data files:
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Last updated on Jul. 04, 2020