中文摘要：

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。

英文摘要：

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.