An algorithm to convert KANSEI data into human motion

Human KANSEI is based on tacit knowledge and experience has received a great deal of attention from researchers. “KANSEI” is a Japanese word that is similar in meaning to sensibility. In the engineering field, KANSEI has been researched in regard to facial expression, gestures and voice (F. Hara and K. Tanaka, 1997), and has also be used to design keyboard switches (Kajiro Watanabe and Hiroaki Kosaka, 1995). KANSEI in music has also been researched from different perspectives. KANSEI does affect human motion; however, its effects on human motion have not yet been clarified. Therefore, the goal of this study is to clarify the effects of human KANSEI on human motion. The bowing in violin playing was selected as an example. The relationship between the timbre terms that are KANSEI data and the bowing parameters that are motion parameters were analyzed via factor analysis. An algorithm to convert timbre terms into bowing parameters was constructed by using the results from factor analysis, and violin sounds were produced by using this algorithm