2019 Fiscal Year Final Research Report
Construction of a Database-Driven Kansei Feedback Control System that "Controls Kansei"
Project/Area Number |
19K21079
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Project/Area Number (Other) |
18H05907 (2018)
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Research Category |
Grant-in-Aid for Research Activity Start-up
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Allocation Type | Multi-year Fund (2019) Single-year Grants (2018) |
Review Section |
0302:Electrical and electronic engineering and related fields
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Research Institution | Hiroshima University |
Principal Investigator |
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Project Period (FY) |
2018-08-24 – 2020-03-31
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Keywords | 感性 / データベース駆動型制御 / 慣性モーメント |
Outline of Final Research Achievements |
It was confirmed that the bucket speed of the hydraulic excavator simulator could be controlled so that the sensitivity value is improved by feeding back the output value of the "Kansei meter" by the electroencephalograph based on the cascade control system. The effectiveness of the proposed scheme was verified by wearing an actual electroencephalograph and conducting experiments on 21 subjects. Furthermore, focusing on an operating system such as a hydraulic excavator, we extended the theory from a cascade control system to a Kansei feedback control scheme based on the moment of inertia. This control scheme is possible to associate an ambiguous signal value called Kansei with a physically definite parameter called the moment of inertia.
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Free Research Field |
制御工学
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Academic Significance and Societal Importance of the Research Achievements |
近年,人の感性の可視化技術については,研究が行われているが,感性を制御する動的な研究は十分に進められていない。もし感性を動的に制御することができれば,自動車分野や建設分野など,機器が人のことを考え動作することで,ストレス・疲労が軽減され,生産性の向上が期待できる。このとき,人の感性は,時変系や非線形系であると考えられるため,そのモデル化は困難である。本研究では,人の感性のモデル化が不要な,データベースを核とした感性フィードバック制御法について研究を取り上げているが,人の感性に着目した動的な制御には今後重要視されるものと考えられる。
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