Multimodal biometric system combining ECG and sound signals

被引：43

作者：

Bugdol, Marcin D. ^{[1
]}

Mitas, Andrzej W. ^{[1
]}

机构：

[1] Silesian Tech Univ, Fac Biomed Engn, PL-41800 Zabrze, Poland

来源：

PATTERN RECOGNITION LETTERS | 2014年 / 38卷

关键词：

Behavioural biometrics; ECG analysis; Sound analysis; Multimodal biometrics; SCORE LEVEL FUSION; ELECTROCARDIOGRAM; VERIFICATION; RECOGNITION;

D O I：

10.1016/j.patrec.2013.11.014

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the paper a novel multimodal, behavioural biometric system that combines ECG and sound signal is described. The signal acquisition has been carried out in a small stress condition when the user has been asked to utter sounds at a given pitch. Thanks to the stimulations the ECG signal and especially the HR vary over time and these changes can be used to extract biometric features which represent an individual response to the stimuli. The proposed approach utilised popular statistical coefficients which are computationally effective and simple. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：107 / 112

页数：6

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