Name
Abstract | ||
|---|---|---|
In our research, classification of music preference based on brain-wave is studied. We assume that there is a clear difference between brain-wave when hearing favorite music and it when hearing disgusting music, and we collect the brain-wave of human while hearing the music. And, there are two methods of collecting: one is separation of favorite/disgusting music clips, and the other is mixing of them. In this paper, the experimental results for two cases, which are obtained with very simple classification method, are presented. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICOIN.2015.7057948 | ICOIN |
Keywords | Field | DocType |
music hearing,music,classification method,electroencephalography,medical signal processing,signal classification,brain-wave,music preference,electrodes,feature extraction,data mining,kernel | Kernel (linear algebra),Computer science,Auditory system,Speech recognition,Feature extraction,Electroencephalography,Brain waves,CLIPS | Conference |
Citations | PageRank | References |
1 | 0.35 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dalwon Jang | 1 | 113 | 12.40 |
| Yoon Jung Park | 2 | 1 | 2.04 |
| Sa-Im Shin | 3 | 15 | 4.44 |
| Jong-Seol Lee | 4 | 13 | 1.95 |
| Sei-Jin Jang | 5 | 22 | 5.57 |
| Tae-Beom Lim | 6 | 1 | 0.35 |