Application of Fuzzy Theory to Inference of Human Laughing Degree
スポンサーリンク
概要
- 論文の詳細を見る
This paper constructs a model which infers and expresses the laughing degree resulting from a story. Fuzzy theory is applied to the model construction. This model is based on Kimura theory. The evaluation of a situation, the mental strain level, the funniness of a story, and the emotions after hearing a story are considered as the model inputs. The laughing degree and the degree of a laugh by superiority are inferred by the use of the fuzzy reasoning technique, and expressed by facial expressions and linguistic terms. Some questionnaires are performed in order to evaluate this model.
- バイオメディカル・ファジィ・システム学会の論文
著者
-
Onizawa Takehisa
Institute Of Engineering Mechanics University Of Tsukuba
-
DATE Daisuke
Master's Program in Science and Engineering, University of Tsukuba
-
Date Daisuke
Master's Program In Science And Engineering University Of Tsukuba