DocumentCode :
2009459
Title :
Analysis of music appreciation by Kansei evaluation and brain activity
Author :
Kakegawa, M. ; Komiyama, Ryoichi ; Masakura, Y. ; Kikuchi, Masashi
Author_Institution :
Tokyo Univ. of Technol., Tokyo, Japan
fYear :
2012
fDate :
20-24 Nov. 2012
Firstpage :
183
Lastpage :
186
Abstract :
Music has an effect altering the feeling of the listener. Currently, several researches challenged to manifest the effect of music on the listeners. Previous study revealed that frontal lobe plays an important role for music appreciation. Based on this finding, this study attempted to classify genre (category) of music pieces and knowingness/unknowingness of them based on Kansei evaluation and brain activity of frontal lobe obtained from NIRS. Furthermore, we attempted to explain impression of music from brain activity. As a result, discrimination rate about knowingness of music achieved 87%. In genre discrimination, the discrimination rate became high if data for discrimination were restricted to known music. We can conclude that it is possible to infer subject´s knowingness about music and genre of music from cerebral blood data.
Keywords :
music; pattern classification; Kansei evaluation; NIRS; brain activity; category classification; cerebral blood data; frontal lobe; genre classification; genre discrimination; music appreciation analysis; music pieces; Brain Computer Interface (BCI); Music; Near-Infra- Red Spectroscopy (NIRS); Semantic Differential method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-2742-8
Type :
conf
DOI :
10.1109/SCIS-ISIS.2012.6505407
Filename :
6505407
Link To Document :
بازگشت