DocumentCode :
3311697
Title :
A study on the analysis of auditory cortex active status by music genre: Drawing on EEG
Author :
Seung-min Park ; Kwee-Bo Sim
Author_Institution :
Sch. of Electr. Electron. Eng., Chung-Ang Univ., Seoul, South Korea
Volume :
3
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
1916
Lastpage :
1919
Abstract :
Music is the pattern of sounds produced by people singing of playing instruments. Thus, the music is made by people. Music composer, will be planted in the human emotions, put the listener is able to feel a similar sentiment. Especially, interesting from our point of view is that music analysis, the emotions of the people can be analyzed. This paper focuses on the analysis of auditory cortex active status by music genre. In this paper, the musical stimuli in EEG signals by amplifying the corresponding reaction to the averaging method, ERP(Event-Related Potentials) experiments based on the process of extracting sound methods for removing noise from the ICA algorithm to extract the tone and noise removal according to the results are applied to analyze the characteristics of EEG. In addition, drawing on LORETA(Low Resolution Brain Electromagnetic Tomography)program have attempt to design location of electrode in brain. And finally, using EEGLAB, the relationship of music and the auditory cortex active status could be concluded.
Keywords :
acoustic signal processing; acoustic tomography; auditory evoked potentials; electroencephalography; music; musical instruments; psychology; signal denoising; EEG signals; ERP experiment; ICA algorithm; LORETA program; auditory cortex active status; averaging method; event related potentials; human emotion analysis; low resolution brain electromagnetic tomography; music composer; music genre; musical stimuli; noise removal; playing instrument; sound extraction method; tone extraction; Brain modeling; Educational institutions; Electrodes; Electroencephalography; Humans; Mathematical model; Noise; Brain-Computer Interface; EEG; Music Genre Distinction; Pattern Recognition; Variance-Considered Machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
Type :
conf
DOI :
10.1109/FSKD.2011.6019916
Filename :
6019916
Link To Document :
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