Mood Lighting System Reflecting Music Mood

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초록

The emotional impact of music or color can be maximized if they are used together. This article presents a mood-lighting system that automatically detects the mood of a piece of music and expresses the mood via synchronized lighting. To do this, the relationship between mood words and colors was analyzed via a web questionnaire (n=202) on moods associated with music and colors. Data analysis generated lighting scenarios reflecting changes in the mood of music. Each piece of music was divided into several segments using structural analysis, with the mood of each segment detected by the mood classification module using the neural network. A matching color was then assigned. The best performance of our mood classification module was <70%, which is not sufficient for commercial use; however, this figure is high enough to show the potential of this approach. (c) 2013 Wiley Periodicals, Inc. Col Res Appl, 40, 201-212, 2015

키워드

music mood classification; mood color; mood lighting system; neural network; mood color map; lighting scenario; COLOR; ASSOCIATIONS; EXPRESSION
제목
Mood Lighting System Reflecting Music Mood
저자
Moon, Chang Bae; Kim, HyunSoo; Lee, Dong Won; Kim, Byeong Man
DOI
10.1002/col.21864
발행일
2015-04
유형
Article
저널명
Color Research and Application
권
40
호
2
페이지
201 ~ 212