Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
In our laboratory, we are developing Interactive Chaotic Amusement System (ICAS) for sound generation using network of chaotic elements. In ICAS, universal sounds can be generated by adjusting pitch, tone length, and volume, which is realized by controlling of synchrony and asynchrony. Several musical elements have been imported in ICAS in order to generate more natural sounds according to different people. At first we focus on the analysis of the relation between the generated sound and 1 /f fluctuation symptom which makes human feel comfortable. According to the results, we found that most of the generated comfortable sounds have the similar characteristic of 1 /f fluctuation. Next, we focus on relaxing people and generating sounds in ICAS using brain wave information. We have developed a system for tuning the parameters of network of chaotic elements to generate relaxation sounds for human. And it can make judgments to the relaxation degree at the same time.