【摘要】：智能手表作為可穿戴設(shè)備的一種,功能齊全、使用便捷,在健康監(jiān)測(cè)等方面有重要的作用。智能手表的監(jiān)測(cè)數(shù)據(jù)可以應(yīng)用于電子取證案件,幫助偵查人員分析人物特征,為偵破案件提供有效的證據(jù)或者線索。但是,由于智能手表是近兩年爆發(fā)式增長的電子產(chǎn)品,目前還沒有智能手表數(shù)據(jù)提取、解析的專門設(shè)備,限制了智能手表數(shù)據(jù)在電子取證領(lǐng)域的廣泛應(yīng)用。因此,本文目的是初步探索智能手表數(shù)據(jù)的提取與解析方法并進(jìn)行手表數(shù)據(jù)的人物特征分析實(shí)驗(yàn)研究,為電子數(shù)據(jù)的取證分析提供借鑒。本文主要采用文獻(xiàn)研究法和實(shí)驗(yàn)研究法。文獻(xiàn)研究法通過閱讀相關(guān)文獻(xiàn)掌握智能手表運(yùn)動(dòng)和健康監(jiān)測(cè)的基本工作原理,國內(nèi)外的發(fā)展現(xiàn)狀。實(shí)驗(yàn)研究法借助FL—900手機(jī)取證塔、Oxygen Forensic Analyst和IBM SPSS Statistics 22.0進(jìn)行智能手表健康和運(yùn)動(dòng)監(jiān)測(cè)數(shù)據(jù)的提取、解析及數(shù)據(jù)分析的實(shí)驗(yàn)研究。本文根據(jù)智能手表的用戶傾向性,共選取25名20~30歲的青年實(shí)驗(yàn)對(duì)象,每人佩戴手表一周左右,歷時(shí)總計(jì)7個(gè)月進(jìn)行智能手表數(shù)據(jù)的人物特征分析實(shí)驗(yàn)。實(shí)驗(yàn)一是基礎(chǔ)性研究實(shí)驗(yàn),主要測(cè)試數(shù)據(jù)提取、解析方法的可行性和手表數(shù)據(jù)的內(nèi)容及存儲(chǔ)位置。實(shí)驗(yàn)二區(qū)別清醒狀態(tài)和睡眠狀態(tài),清醒狀態(tài):心率不穩(wěn)定,卡路里消耗大部分在8~15之間,心率變異系數(shù)在10%以上;睡眠狀態(tài):心率在一段時(shí)間內(nèi)呈水平狀,卡路里消耗大部分在4~8之間,心率變異系數(shù)在10%以下。實(shí)驗(yàn)三區(qū)別喝酒狀態(tài)和正常狀態(tài),酒后心率總體上高于正常狀態(tài),平均心率高于正常狀態(tài)約10%,變異系數(shù)低于正常狀態(tài)約30%。實(shí)驗(yàn)四區(qū)別運(yùn)動(dòng)狀態(tài)和正常狀態(tài),運(yùn)動(dòng)前和運(yùn)動(dòng)后的步數(shù)、卡路里、心率數(shù)值都相對(duì)較小,運(yùn)動(dòng)過程中步數(shù)、卡路里、心率數(shù)值較大,當(dāng)心率和步數(shù)同時(shí)出現(xiàn)數(shù)值在100以上且占比最大時(shí),考慮處于運(yùn)動(dòng)或健身狀態(tài)。通過基本狀態(tài)的研究可以有效掌握智能手表用戶案發(fā)時(shí)的狀態(tài),為犯罪現(xiàn)場(chǎng)重現(xiàn)提供電子數(shù)據(jù)支撐。
[Abstract]:As a wearable device, smartwatch has full function, convenient use, and plays an important role in health monitoring and so on. Smart watch monitoring data can be used in electronic forensics cases to help investigators analyze character characteristics and provide effective evidence or clues for detection cases. However, because smartwatch is a explosive growth of electronic products in recent two years, there is no special equipment for data extraction and analysis of smart watches, which limits the wide application of smart watch data in the field of electronic forensics. Therefore, the purpose of this paper is to preliminarily explore the method of extracting and analyzing the data of smart watch and to carry out the experimental research on the character characteristic analysis of the watch data, which can provide reference for the forensic analysis of electronic data. This article mainly uses the literature research method and the experimental research method. The literature research method grasps the basic working principle of smart watch movement and health monitoring by reading the relevant documents, and the development status at home and abroad. The experimental research method uses FL-900 mobile phone forensics tower, Oxygen Forensic Analyst and IBM SPSS Statistics 22.0 to extract, analyze and analyze the data of smart watch health and movement monitoring. According to the user orientation of smart watches, 25 young people aged 20 or 30 years were selected to wear watches for a week or so for a total of 7 months. Experiment one is the basic research experiment, which mainly tests the data extraction, the feasibility of analytical method and the content and storage location of watch data. Experiment 2 distinguishes awake state from sleep state: heart rate is unstable, calorie consumption is mostly between 815 and coefficient of heart rate variability is more than 10%; Sleep state: heart rate is horizontal for a period of time, calorie consumption is mostly between 4g / 8 and HRV is less than 10%. In experiment 3, the drinking state and the normal state were distinguished, the drunk heart rate was higher than the normal state, the average heart rate was about 10 times higher than the normal state, and the coefficient of variation was about 30% lower than the normal state. Experiment 4 distinguishes the movement state from the normal state, the number of steps, calories, heart rate are relatively small before and after exercise, the number of steps, calories, heart rate are larger during exercise. When the heart rate and the number of steps at the same time more than 100 and the largest proportion, consider in exercise or fitness state. Through the research of basic state, we can effectively grasp the state of smart watch user at the time of crime, and provide electronic data support for crime scene reproduction.
【學(xué)位授予單位】：中國政法大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：D918

【相似文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 王春露;基于智能手表數(shù)據(jù)的人物特征分析技術(shù)研究[D];中國政法大學(xué);2017年

，

本文編號(hào)：2308379