The
Kansei engineering is a method to translate
Kansei and images of human being into physical factors of design in order to design products, environment, etc. which meet the
Kansei. Utilizing this technology is considered to be significant in the fields of food or environment in future with the following reasons: if
Kansei can be comprehended, it will be possible for agricultural or food products that are highly evaluated by consumers to be designed, developed, and evaluated. Likewise, for comfortable room space, city and rural landscape with high amenity effects to be constructed. So far we have focused on the relation between facial expression and
Kansei, and we have specified significant face nodes and constructed the 2-dimensional facial expression -
Kansei estimation system using degree of similarity and the nearest neighbor rule. This system has implied the possibility that
Kansei is presumable from expression of the face. In this paper, extending from 2-dimensional, we constructed the 3-dimensional facial expression -
Kansei estimation system using stereovision and made an evaluation. When we evaluated for the object of positive
Kansei, negative
Kansei, and surprise, we obtained good results particularly for the positive
Kansei and negative
Kansei. As for surprise, the discernment result was lower than the other two
Kansei because of individual differences, expressional differences of
Kansei, or etc. But we consider that this system indicates the possibility of
Kansei to be estimated.
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