Recognition of Emotions Induced by Music Videos Using DT-CWPT

被引：0

作者：

Naser, Daimi Syed ^{[1
]}

Saha, Goutam ^{[1
]}

机构：

[1] Indian Inst Technol, E&ECE Dept, Kharagpur 721302, W Bengal, India

来源：

2013 INDIAN CONFERENCE ON MEDICAL INFORMATICS AND TELEMEDICINE (ICMIT 2013) | 2013年

关键词：

Dual-tree complex wavelet packet transform (DTCWPT); electroencephalogram; singular vector decomposition (SVD); QR factorization with column pivoting (QRcp); F-ratio and support vector machine (SVM);

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Viewers are attracted and attached to multimedia content due to their emotional experience associated with it. In this paper, we present an emotion recognition method of EEG signals elicited while watching music videos. The emotional features are extracted from EEG signals using dual-tree complex wavelet packet transform (DT-CWPT). The most discriminating emotional features are selected by Singular value decomposition (SVD), QR factorization with column pivoting (QRcp) and F-ratio based method. The selected features are used to train support vector machine (SVM) to classify emotion for each video using leave-one-out cross-validation strategy.

引用

页码：53 / 57

页数：5

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