Design and Experimental Analysis of a Database-Driven Kansei Feedback Control System using EEG Data

In Japan, the level of happiness is considered low despite the Gross Domestic Product (GDP) being high, and a wide gap separates “material wealth” related to GDP and “mental wealth such as Kansei” related to the level of happiness. To fill this gap, materials 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 study, the design of a data-oriented cascade control system based on Kansei is proposed. In particular, a database-driven controller is designed for a human based on Kansei. The effectiveness of the proposed scheme is experimentally verified.