中文摘要：

为保护手机用户的个人信息，对用户进行身份识别认证，提出一种生物识别方法。利用智能手机内置的传感器，采集人体的生理振动信息；通过对采集数据进行去重力等预处理，提取均值、方差、能量、峰度、偏度等特征指标，利用z‐score方法进行标准化处理；进行分类器设计，得出分类器的查准率、误检率等评价指标。分析60组不同用户的生理振动数据，分析结果表明，该分类器的查准率最高可达98？33％。

英文摘要：

To protect the mobile phone user’s personal information and recognize the status of users ,a biological identification method was presented .Firstly ,the physiological vibration information of the human body was collected using the sensor built in intelligent mobile phone .Then ,the gravity of vibration data was removed for preprocessing .The parameters of mean ,variance , energy ,kurtosis and skewness were extracted .The data processing was standardized using z‐score .Thirdly ,a classifier was de‐signed ,so the precision ,the false reject rate etc .were obtained .60 different groups of users’ physiological vibration data were analyzed ,the precision of 98？33% of the classifier was attained .