Authors
Yusuke Kawakami, Tetsuo Hattori, Hiromichi Kawano, Tetsuya Izumi
Corresponding Author
Tetsuo Hattori
Available Online 2 March 2015.
DOI
https://doi.org/10.2991/jrnal.2015.1.4.11
Keywords
Signal processing, Fluctuation, Intercept, Sum of squared errors, Feeling
impression, PCA
Abstract
This paper describes experimental investigation of the relationship between
feature quantity of sound signal and feeling impression using PCA (Principal
Component Analysis). As the feature quantity, we use Fluctuation value
and sum of squared errors (Residual) which is calculated by regression
analysis of sound signal, in the same way as our previous paper. In order
to investigate the feeling impression and effect from sound signal, we
use a questionnaire survey method, that is, we ask some examinees to evaluate
their feeling impression about sound (music) that we provide. As a result,
we have found that the feeling response of examinees can be classified
into three groups by a clustering analysis. And we have verified the feeling
impression effects depending on each group of examinees and four kinds
of frequency zone of sound signal from the results of PCA. In this paper,
we also discuss the analysis results on the Kansei (or feeling) effect.
Copyright
© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).