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用小波变换提取心电信号的情感特征
引用本文:龙正吉,刘光远.用小波变换提取心电信号的情感特征[J].西南农业大学学报,2011,33(3).
作者姓名:龙正吉  刘光远
作者单位:西南大学计算机与信息科学学院;西南大学电子信息工程学院;
基金项目:国家自然科学基金(60873143); 西南大学国家重点学科基础心理学科研基金(NKSF07003)
摘    要:采用小波变换的方法对采集自同一被试的不同情感数据样本进行分析,从小波系数中提取心电图信号的情感特征.对同一天采集自同一被试的4种情感的特征进行比较分析,得出大小关系一致的特征作为情感识别依据.选取的特征在归一化之后对高兴和悲伤2类情感分类效果较好,最高可以达到92%.

关 键 词:小波变换  特征提取  心电信号  情感识别  

Extracting Emotion Features from ECG by Using Wavelet Transform
LONG Zheng-ji,LIU Guang-yuan .School of Computer , Information Science,Southwest University,Chongqing ,China,.School of Electronic , Information Engineering.Extracting Emotion Features from ECG by Using Wavelet Transform[J].Journal of Southwest Agricultural University,2011,33(3).
Authors:LONG Zheng-ji    LIU Guang-yuan School of Computer  Information Science  Southwest University  Chongqing  China  School of Electronic  Information Engineering
Institution:LONG Zheng-ji1,2,LIU Guang-yuan2 1.School of Computer and Information Science,Southwest University,Chongqing 400715,China,2.School of Electronic and Information Engineering
Abstract:The key element of emotion recognition is to effectively extract emotion features from physiological signals.In this paper,a wavelet transform-based feature extraction is proposed to recognize emotions through ECG(electrocardiogram) signals.After the feature values of four emotion data that derived from one subject on the same day were compared and analyzed,the features that had uniform size relation were regarded as the evidence for emotion recognition.The normalized feature was used to recognize joy and s...
Keywords:wavelet transform  feature extraction  electrocardiograph  emotion recognition  
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