| 基于Android的心音身份识别系统研究 |
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| 引用本文： | 何圣康,赵治栋.基于Android的心音身份识别系统研究[J].杭州电子科技大学学报,2014(2):65-68. |
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| 作者姓名： | 何圣康 赵治栋 |
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| 作者单位： | [1]杭州电子科技大学通信工程学院,浙江杭州310018 [2]杭州电子科技大学电子信息学院,浙江杭州310018 |
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| 基金项目： | 浙江省重点科技创新团队资助项目（2012R10010-15）; 浙江省科技计划公益技术研究资助项目（2013C31074） |
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| 摘 要： | 心音信号蕴含了丰富的个体特征,心音信号的唯一性、不易伪造、易采集性决定了心音信号可以用于生物特征识别领域。该文基于安卓系统开发了一种利用心音进行身份识别的新型身份识别系统。识别算法基于MEL频率倒谱系数和矢量量化算法。该系统利用心音信号实现了用户注册,身份辨识等功能,可以准确高效地实现用户的身份识别。
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| 关 键 词： | 身份识别 心音信号 安卓 蓝牙 |
Research of Android-based Heart Sound Identification System |
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| He Shengkang,Zhao Zhidong.Research of Android-based Heart Sound Identification System[J].Journal of Hangzhou Dianzi University,2014(2):65-68. |
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| Authors: | He Shengkang Zhao Zhidong |
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| Affiliation: | 1. School of Communication Engineering, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China; 2. School of Electronic Information, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China) |
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| Abstract: | Heart sound signals contain a lot of individual characteristics of human body. Heart sound is unique and difficult to be forged,meanwhile it can be collected easily. These characteristics determine that heart sound signal can be used in the field of biometric identification. In this paper,based on Android system, we develop a new kind of heart sound identification system. Recognition algorithm is based on MEL-frequency cepstral coefficients（ MFCC） and vector quantization（ VQ） algorithm. The system achieves several functions such as user registration and identity recognition based on heart sound. |
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| Keywords: | heart sound signal identification Android Bluetooth |
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