Single-Trial ERP Detecting for Emotion Recognition

被引：0

作者：

Jiang, Jingfang ^{[1
]}

Zeng, Ying ^{[1
]}

Tong, Li ^{[1
]}

Zhang, Chi ^{[1
]}

Yan, Bin ^{[1
]}

机构：

[1] Natl Digital Switching Syst Engn & Technol R&D Ct, Zhengzhou, Peoples R China

来源：

2016 17TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD) | 2016年

关键词：

emotion recognition; EEG; ERP; single-trial; spatial-temporal feature; RECORDINGS; BRAIN;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Emotion recognition, as an important part of human-computer interaction, has been extensively researched. Various studies have already verified the relationship between emotion and the event-related potentials (ERPs). In this paper, a new methodology for emotion recognition is investigated by detecting single-trial ERPs related to some specific level of emotions. First, a spatial filter is constructed to estimate the ERP components. Then the most discriminative spatial and temporal features of the entire ERP waveform are extracted with linear discriminant analysis. The performance of this method is tested by classifying the emotional valence on three levels, the extremely negative, the moderately negative and the neutral, with the support vector machine (SVM). The result shows that the proposed method is effective.

引用

页码：105 / 108

页数：4

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