發(fā)布時(shí)間：2018-05-29 02:03

  本文選題：跌倒檢測 + 數(shù)據(jù)融合　； 參考：《杭州電子科技大學(xué)》2017年碩士論文

【摘要】：跌倒降低了人體的活動(dòng)能力,是老年人和病人傷殘、死亡以及經(jīng)濟(jì)負(fù)擔(dān)加重的重要原因之一。鑒于現(xiàn)有的跌倒檢測設(shè)備功耗高、報(bào)警范圍受限、攜帶不便等缺點(diǎn),設(shè)計(jì)出一款功耗低、體積小、方便攜帶的可穿戴式檢測裝置,對于提高智慧醫(yī)療信息化、實(shí)時(shí)性、促進(jìn)和諧社會(huì)發(fā)展等具有重要的意義。本文結(jié)合Arduino與Android研發(fā)了一套基于數(shù)據(jù)融合的跌倒檢測系統(tǒng),分析了系統(tǒng)的功能需求,并給出了整體設(shè)計(jì)方案,重點(diǎn)設(shè)計(jì)了下位機(jī)數(shù)據(jù)采集、傳輸和處理的軟硬件平臺(tái),開發(fā)了上位機(jī)實(shí)時(shí)定位報(bào)警軟件,實(shí)現(xiàn)了對人體的運(yùn)動(dòng)數(shù)據(jù)、實(shí)時(shí)定位的精確控制。主要研究內(nèi)容如下:(1)針對目前跌倒檢測系統(tǒng)的研究現(xiàn)狀及優(yōu)缺點(diǎn),給出了本文跌倒檢測系統(tǒng)的需求指標(biāo)與總體設(shè)計(jì)方案,并指出了本文系統(tǒng)的主要?jiǎng)?chuàng)新點(diǎn)。(2)搭建了跌倒檢測系統(tǒng)的硬件電路,主要包括數(shù)據(jù)采集模塊、數(shù)據(jù)傳輸模塊、報(bào)警模塊及一些微控制模塊。根據(jù)下位機(jī)設(shè)計(jì)需求完成了對元器件的選擇、電路原理圖的設(shè)計(jì),并對電路板進(jìn)行功能調(diào)試,以保證系統(tǒng)的穩(wěn)定性與可靠性。同時(shí),開發(fā)了跌倒檢測系統(tǒng)的定位報(bào)警App,詳細(xì)介紹了百度地圖定位模塊、藍(lán)牙串口通信模塊以及定位求救短信發(fā)送模塊的設(shè)計(jì)流程。(3)分析了人體的日常運(yùn)動(dòng)模式,詳細(xì)闡述了數(shù)據(jù)源和采樣頻率的選擇、mpu6050的采樣原理、數(shù)據(jù)的預(yù)處理以及特征量的提取等。(4)詳細(xì)給出了聯(lián)合卡爾曼濾波和ProtoThread并行調(diào)度的實(shí)現(xiàn)原理,提出基于數(shù)據(jù)融合的并行閾值算法,利用Arduino IDE開發(fā)環(huán)境開發(fā)了跌倒檢測系統(tǒng)的軟件程序,同時(shí)加入了偏差補(bǔ)償?shù)纫恍﹥?yōu)化,使采集到的數(shù)據(jù)更加準(zhǔn)確,從而提高系統(tǒng)的準(zhǔn)確率。(5)介紹了本文跌倒檢測系統(tǒng)的佩戴方式與具體操作方法,并通過對志愿者的模擬測試,將實(shí)驗(yàn)結(jié)果與現(xiàn)有算法進(jìn)行對比與性能分析,驗(yàn)證了系統(tǒng)的穩(wěn)定性和可靠性。本文所開發(fā)的跌倒檢測系統(tǒng),具有低功耗、低成本、高精度、易攜帶等優(yōu)點(diǎn),不僅降低了跌倒檢測設(shè)備的成本,提高了檢測精度,同時(shí)對促進(jìn)醫(yī)療設(shè)備的科學(xué)發(fā)展具有重要意義,且具有良好的社會(huì)效益與廣闊的市場前景。
[Abstract]:Falling down reduces the ability of the human body, is one of the important reasons for the disabled, the death and the economic burden of the elderly. In view of the disadvantages of high power consumption, limited alarm range and inconvenient carrying, a wearable detection device with low power consumption, small size and portable belt is designed to improve the wisdom medicine. Medical information, real-time, and promoting the development of harmonious society are of great significance. In this paper, a set of fall detection system based on data fusion is developed based on Arduino and Android. The functional requirements of the system are analyzed, and the overall design scheme is given. The software and hardware platform of the data acquisition, transmission and processing of the lower computer is designed, and the development of the software and hardware platform is developed. The host computer real-time positioning alarm software realizes the accurate control of the motion data and real-time positioning of the human body. The main contents are as follows: (1) in view of the current research status and advantages and disadvantages of the current fall detection system, the demand index and overall plan scheme of the fall detection system are given, and the main innovation points of this system are pointed out. (2) The hardware circuit of the fall detection system is built, which mainly includes the data acquisition module, the data transmission module, the alarm module and some micro control modules. According to the design requirements of the lower computer, the selection of the components, the design of the circuit schematic and the function of the circuit board are designed to ensure the stability and reliability of the system. At the same time, the system is opened. The location alarm App of the fall detection system was sent. The design process of Baidu map positioning module, Bluetooth serial communication module and location saving short message sending module were introduced in detail. (3) the daily movement mode of the human body was analyzed, the selection of data source and sampling frequency, the sampling principle of mpu6050, the preprocessing of data and the special data were described in detail. The extraction of eigenvalue. (4) the implementation principle of joint Calman filter and ProtoThread parallel scheduling is given in detail. A parallel threshold algorithm based on data fusion is proposed. The software program of the fall detection system is developed by using the Arduino IDE development environment. In order to improve the accuracy of the system. (5) the method of wearing and operation of the fall detection system is introduced, and the experimental results are compared with the existing algorithms to verify the stability and reliability of the system through the simulation test of the volunteers. The fall detection system developed in this paper has low power consumption and low cost. High precision, easy to carry and other advantages, not only reduce the cost of falling detection equipment, improve the detection precision, but also to promote the scientific development of medical equipment is of great significance, and has good social benefits and broad market prospects.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP274;TP212.9

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 杜波;張卓;劉W，

本文編號：1949071