2013
DOI: 10.1002/col.21806
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Analysis of relationships between mood and color for different musical preferences

Abstract: We investigated the relationship between mood and color according to musical preference. Volunteers were requested to select the mood evoked by music and the color associated with a mood word, and the color distributions and mood distributions were then analyzed with two‐way ANOVA using Minitab. The results of the analysis indicated that mood and color were differently distributed, depending on the music genre presented and the musical preference of the listener. © 2013 Wiley Periodicals, Inc. Col Res Appl, 39… Show more

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Cited by 16 publications
(19 citation statements)
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“…, the mood mapping process of music consisted of two phases: one was mood training phase and the other mood identification phase. In the mood training phase, features of each music segment of Moon et al 's were extracted by MIRtoolbox and then were reduced by the R 2 method (see “Mapping Music Segments to Moods” section); using the reduced feature sets of the music segments and their mood information, the relationship between mood and music (or mood mapping model or shortly mood model) was modeled via a neural network. The music segments of Moon et al's had been obtained by dividing the music into several segments via Levy et al method and their mood information had been also collected from several subjects in our previous work .…”
Section: Mapping Music To Moodmentioning
confidence: 99%
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“…, the mood mapping process of music consisted of two phases: one was mood training phase and the other mood identification phase. In the mood training phase, features of each music segment of Moon et al 's were extracted by MIRtoolbox and then were reduced by the R 2 method (see “Mapping Music Segments to Moods” section); using the reduced feature sets of the music segments and their mood information, the relationship between mood and music (or mood mapping model or shortly mood model) was modeled via a neural network. The music segments of Moon et al's had been obtained by dividing the music into several segments via Levy et al method and their mood information had been also collected from several subjects in our previous work .…”
Section: Mapping Music To Moodmentioning
confidence: 99%
“…In the mood training phase, features of each music segment of Moon et al 's were extracted by MIRtoolbox and then were reduced by the R 2 method (see “Mapping Music Segments to Moods” section); using the reduced feature sets of the music segments and their mood information, the relationship between mood and music (or mood mapping model or shortly mood model) was modeled via a neural network. The music segments of Moon et al's had been obtained by dividing the music into several segments via Levy et al method and their mood information had been also collected from several subjects in our previous work . In the mood identification phase, a new music piece was divided into several segments via Levy et al method; their features were extracted and reduced; the mood of each segment was determined by inputting its reduced features into the mood model built in the training phase.…”
Section: Mapping Music To Moodmentioning
confidence: 99%
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