{"title":"基于心音图信号分析的多波段人体身份验证方法","authors":"F. Beritelli","doi":"10.1109/BSYM.2008.4655525","DOIUrl":null,"url":null,"abstract":"New physiological or behavioural characteristics have to be considered in order to improve the performance of automatic mono/multi-biometric recognition systems. It has recently been shown in, by means of a preliminary study, that PhonoCardioGram (PCG) signals have specific individual characteristics that can be taken into consideration as a physiological sign used in a biometric system. This paper presents new results in biometric identification/verification via frequency analysis of cardiac sounds. More specifically, the paper proposes a multiband approach to PCG signals that has made it possible to enhance the linear separability and obtain an Equal Error Rate (EER) of 9%.","PeriodicalId":389538,"journal":{"name":"2008 Biometrics Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A multiband approach to human identity verification based on PhonoCardioGram signal analysis\",\"authors\":\"F. Beritelli\",\"doi\":\"10.1109/BSYM.2008.4655525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"New physiological or behavioural characteristics have to be considered in order to improve the performance of automatic mono/multi-biometric recognition systems. It has recently been shown in, by means of a preliminary study, that PhonoCardioGram (PCG) signals have specific individual characteristics that can be taken into consideration as a physiological sign used in a biometric system. This paper presents new results in biometric identification/verification via frequency analysis of cardiac sounds. More specifically, the paper proposes a multiband approach to PCG signals that has made it possible to enhance the linear separability and obtain an Equal Error Rate (EER) of 9%.\",\"PeriodicalId\":389538,\"journal\":{\"name\":\"2008 Biometrics Symposium\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Biometrics Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BSYM.2008.4655525\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Biometrics Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BSYM.2008.4655525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A multiband approach to human identity verification based on PhonoCardioGram signal analysis
New physiological or behavioural characteristics have to be considered in order to improve the performance of automatic mono/multi-biometric recognition systems. It has recently been shown in, by means of a preliminary study, that PhonoCardioGram (PCG) signals have specific individual characteristics that can be taken into consideration as a physiological sign used in a biometric system. This paper presents new results in biometric identification/verification via frequency analysis of cardiac sounds. More specifically, the paper proposes a multiband approach to PCG signals that has made it possible to enhance the linear separability and obtain an Equal Error Rate (EER) of 9%.
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