Name
Title | ||
|---|---|---|
Classification of emotions induced by music videos and correlation with participants' rating. |
Abstract | ||
|---|---|---|
•The DT-CWPT time–frequency features represent user’s emotional state effectively.•SVD–QRcp and F-Ratio based feature selection eliminate redundant and weak features.•Features selected are mostly from brain region involved in emotional activities.•Valance and liking show strong correlation in almost all subbands of DT-CWPT. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.eswa.2014.03.050 | Expert Systems with Applications |
Keywords | Field | DocType |
Dual-Tree Complex Wavelet Packet Transform (DT-CWPT),Electroencephalogram (EEG),Singular Value Decomposition (SVD),QR factorization with column pivoting (QRcp),F-Ratio,Support Vector Machine (SVM),Human-computer interaction (HCI) | Feature selection,Computer science,Emotion classification,Brain activity and meditation,Artificial intelligence,Wavelet packet decomposition,Electroencephalography,Singular value decomposition,Pattern recognition,Support vector machine,Speech recognition,Correlation,Machine learning | Journal |
Volume | Issue | ISSN |
41 | 13 | 0957-4174 |
Citations | PageRank | References |
19 | 0.74 | 19 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Syed Naser Daimi | 1 | 20 | 1.46 |
| Goutam Saha | 2 | 255 | 23.17 |