Constructive adaptive user interfaces based on brain waves

Abstract

We demonstrate a method to locate relations and constraints between a music score and its impressions, by which we show that machine learning techniques may provide a powerful tool for composing music and analyzing human feelings. We examine its generality by modifying some arrangements to provide the subjects with a specified impression. This demonstration introduces some user interfaces, which are capable of predicting feelings and creating new objects based on seed structures, such as spectrums and their transition for sounds that have been extracted and are perceived as favorable by the test subject. This paper proposes to define knowledge components for the seed structure. © 2009 Springer Berlin Heidelberg.