【摘要】：現(xiàn)代社會(huì)，隨著交通、通訊和網(wǎng)絡(luò)技術(shù)的飛速發(fā)展，人類的活動(dòng)范圍越來(lái)越大，身份識(shí)別的難度和重要性也越來(lái)越突出，對(duì)人類自身身份識(shí)別的準(zhǔn)確性、安全性與實(shí)用性提出了更高的要求。所謂生物識(shí)別技術(shù)是指通過(guò)計(jì)算機(jī)與光學(xué)、聲學(xué)、生物傳感器和生物統(tǒng)計(jì)學(xué)原理等高科技手段密切結(jié)合，利用人體固有的生理特性和行為特征進(jìn)行個(gè)人身份鑒定的技術(shù)。傳統(tǒng)意義上的生物識(shí)別技術(shù)如指紋、虹膜、掌紋、語(yǔ)音等在實(shí)際應(yīng)用中雖然取得了成功，但都面臨著安全問(wèn)題——使用者的身份易被仿冒，因此需要新的技術(shù)來(lái)克服這種不安全性和不可靠性。心音是來(lái)自于人體內(nèi)部的內(nèi)源性生理信號(hào)，所具有的獨(dú)特生理特征使其有望成為新型身份識(shí)別方法之一。 本文研究開(kāi)發(fā)基于心音信號(hào)分析的嵌入式身份識(shí)別系統(tǒng)。在心音信號(hào)預(yù)處理、特征提取及匹配識(shí)別等關(guān)鍵技術(shù)領(lǐng)域研究基礎(chǔ)上，重點(diǎn)設(shè)計(jì)了心音身份識(shí)別嵌入式系統(tǒng)的軟硬件平臺(tái)，開(kāi)發(fā)心音身份識(shí)別軟件，實(shí)現(xiàn)嵌入式心音身份識(shí)別系統(tǒng)。主要研究?jī)?nèi)容如下： （1）研究心音信號(hào)用于身份識(shí)別的原理及其時(shí)頻域特性，回顧了心音身份識(shí)別的歷史和國(guó)內(nèi)外的研究現(xiàn)狀。 （2）提出了心音信號(hào)的小波包變換倒譜系數(shù)（Wavelet Package Cepstrum Coefficients，WPCC）特征參數(shù)提取方法，結(jié)合矢量量化生成穩(wěn)定的表征個(gè)人身份的心音碼本，并在LabVIEW平臺(tái)上編程實(shí)現(xiàn)。 （3）設(shè)計(jì)嵌入式心音身份識(shí)別系統(tǒng)的上下位機(jī)，下位機(jī)包括心音拾音頭、有源濾波放大電路、主放大電路、dsPIC主控單元電路、HC-06藍(lán)牙發(fā)送電路以及電源電路，上位機(jī)包括HC-06藍(lán)牙接收電平轉(zhuǎn)換電路、工控主板和液晶屏。下位機(jī)采集心音信號(hào)，對(duì)其進(jìn)行濾波放大，經(jīng)過(guò)AD轉(zhuǎn)換后實(shí)現(xiàn)藍(lán)牙無(wú)線傳輸；上位機(jī)接收心音信號(hào)，負(fù)責(zé)人機(jī)交互和識(shí)別算法處理，實(shí)現(xiàn)心音身份的有效識(shí)別。 （4）基于LabVIEW設(shè)計(jì)心音身份識(shí)別軟件，，結(jié)合MicrosoftAccess2007構(gòu)建心音數(shù)據(jù)庫(kù)，實(shí)現(xiàn)信號(hào)采集、用戶注冊(cè)、用戶辨識(shí)和系統(tǒng)設(shè)置的功能，生成安裝文件，實(shí)現(xiàn)在嵌入式平臺(tái)上的無(wú)縫移植。 （5）開(kāi)發(fā)Windows Embedded Standard嵌入式操作系統(tǒng)，實(shí)現(xiàn)系統(tǒng)功能定制、驅(qū)動(dòng)定制和啟動(dòng)定制，搭載基于LabVIEW設(shè)計(jì)的心音身份識(shí)別軟件，靈活方便的實(shí)現(xiàn)基于心音信號(hào)的身份識(shí)別。 本文的研究提供了一種準(zhǔn)確率高、防偽能力強(qiáng)的生物識(shí)別新設(shè)備，可以為當(dāng)前社會(huì)所面臨的各種身份鑒定和信息安全問(wèn)題提供較為理想的解決方案。
[Abstract]:In modern society, with the rapid development of traffic, communication and network technology, the range of human activities is becoming larger and larger, and the difficulty and importance of identity recognition are becoming more and more prominent. Safety and practicability put forward higher requirements. The so-called biometrics technology is a technology that combines computer with optics, acoustics, biosensor and biostatistics, and makes use of the inherent physiological and behavioral characteristics of human body to carry out personal identification. Traditional biometrics, such as fingerprint, iris, palmprint, speech and so on, have been successful in practical applications, but they all face security problems-the identity of the user is easy to be counterfeited. New technologies are therefore needed to overcome this insecurity and unreliability. Heart sound is an endogenous physiological signal from the human body, which is expected to be one of the new identification methods due to its unique physiological characteristics. In this paper, an embedded identity recognition system based on heart sound signal analysis is developed. Based on the research of heart sound signal preprocessing, feature extraction and matching recognition, the hardware and software platform of heart sound identity recognition embedded system is designed, and the heart sound identity recognition software is developed. The embedded heart sound identity recognition system is implemented. The main research contents are as follows: (1) the principle and time-frequency characteristic of heart sound signal used in identity recognition are studied, and the history of heart sound identification and the research status at home and abroad are reviewed. (2) the method of extracting feature parameters of heart sound signal based on wavelet packet transform cepstrum coefficient (Wavelet Package Cepstrum Coefficients,WPCC) is proposed. A stable heart sound codebook is generated by vector quantization and implemented on LabVIEW platform. (3) the upper and lower computer of the embedded heart sound identification system is designed. The lower computer includes the heart sound pickup head, the active filter amplifier circuit, the main amplifier circuit, the dsPIC main control unit circuit, the HC-06 Bluetooth sending circuit and the power supply circuit. Upper computer includes HC-06 Bluetooth receiving level conversion circuit, industrial control motherboard and LCD screen. The lower computer collects the heart sound signal, filters and amplifies it, realizes the Bluetooth wireless transmission after the AD conversion; the upper computer receives the heart sound signal, is responsible for the man-machine interaction and the recognition algorithm processing, realizes the heart sound identity effective recognition. (4) Design the heart sound identification software based on LabVIEW, build heart sound database with MicrosoftAccess2007, realize the functions of signal collection, user registration, user identification and system setup, generate installation files, and realize seamless transplantation on embedded platform. (5) develop Windows Embedded Standard embedded operating system, realize system function customization, drive customization and start customization, carry the heart sound identification software based on LabVIEW design, and realize the identity recognition based on heart sound signal flexibly and conveniently. The research in this paper provides a new biometric equipment with high accuracy and strong anti-counterfeiting ability, which can provide a more ideal solution to the problems of identification and information security in the current society.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：TP391.4;TP368.1

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 丁艷偉;戴玉剛;;基于VQ的說(shuō)話人識(shí)別系統(tǒng)[J];電腦知識(shí)與技術(shù);2008年32期

2 周世龍;單電源供電運(yùn)算放大器設(shè)計(jì)方法[J];電子工程師;2005年05期

3 田霖;白鳳娥;郭建偉;;基于LabVIEW的虛擬頻譜分析儀的設(shè)計(jì)與實(shí)現(xiàn)[J];電子技術(shù);2009年05期

4 王首勇,朱光喜,唐遠(yuǎn)炎;應(yīng)用最優(yōu)小波包變換的特征提取方法[J];電子學(xué)報(bào);2003年07期

5 呂向鋒;高洪林;馬亮;王新華;;基于LabVIEW串口通信的研究[J];國(guó)外電子測(cè)量技術(shù);2009年12期

6 郭娜娜;曹銀杰;黃慧;張建國(guó);;嵌入式XPE操作系統(tǒng)的構(gòu)建及應(yīng)用[J];電子設(shè)計(jì)工程;2009年09期

7 于雯雯;孫農(nóng)亮;曹茂永;;基于K-L變換的虹膜識(shí)別方法[J];光學(xué)技術(shù);2008年02期

8 劉娟;趙治棟;;基于心音信號(hào)譜分析的身份特征提取算法[J];杭州電子科技大學(xué)學(xué)報(bào);2010年04期

9 王佳;趙治棟;;嵌入式心音身份識(shí)別系統(tǒng)研究[J];杭州電子科技大學(xué)學(xué)報(bào);2011年05期

10 楊世錫;項(xiàng)文娟;葉紅仙;;基于LabVIEW的機(jī)械故障信號(hào)小波包分解和重構(gòu)[J];機(jī)電工程;2007年07期

本文編號(hào)：2398941