Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/98243
DC FieldValueLanguage
dc.contributor陳煥zh_TW
dc.contributor.author歐嘉彥zh_TW
dc.contributor.authorChia-Yen Ouen_US
dc.contributor.other資訊科學與工程學系所zh_TW
dc.date2019zh_TW
dc.date.accessioned2019-03-22T06:29:49Z-
dc.identifier.citation[1] 林宗翰,'利用RFID感測器於室內環境之盲人導航系統',國立 臺灣師範大學,pp.1–3,2012 [2] 林昱豪,'應用接收信號強度指示通訊iBeacon協定實現室內定 位',國立台北科技大學,pp.77–94,2017 [3] 李賢識,'利用ibeacon 藍牙模組實現室內定位應用之研究', 東海大學,pp.33–42,2017 [4] 朱裕騏,'利用BLE進行室內人員位置感知之研究',銘傳大 學,pp.38–50,2016 [5] 黃濟寰,'應用低耗電藍芽技術於室內定位之研究',國立中興 大學,2014 [6] 洪銘鴻,'iBeacon定位校正方法設計與實作',東海大 學,pp.17–25,2015 [7] Linjun Yu, Yalan Liu*, Tianhe Chi, Lin Peng,' An iBeacon-based Indoor and Outdoor Positioning System for the Fire Emergency Command',Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,2017 [8] Feritah Dalkl、Umut Can Cbuk,'An Analysis of the Positioning Accuracy of iBeacon Technology in Indoor Environments',Dokuz Eylul niversity,2017 [9] Milan Herrera Vargas,'INDOOR NAVIGATION USING BLUETOOTH LOWENERGY(BLE) BEACONS',TURKU UNIVERSITY OF APPLIED SCIENCES,2016 [10] Zhu Qiuyue,'Research and Improvement of Indoor LocationAlgorithm Based on RSSI', Xihua University,2017 [11] Thlight iBeacon spec url:http://www.thlight.com/product /b402X.html [12] iBeacon introduction url:https://www.jianshu.com/p /392ef31a23b9 [13] HTC Desire 10 pro spec: https://www.eprice.com.tw/mobile /intro/c01-p5561-htc-desire-10-pro/ [14] Android recorder class url:https://www.smwenku.com /a/5b8c839a2b717718833361be/ [15] DB value calculation url:https://blog.csdn.net /greatpresident/article/details/38402147 [16] Android ObjectAnimator url:https://www.jianshu.com /p/48d79eaf3470 [17] 二階Bezier曲線url:https://blog.csdn.net/tianhai110 /article/details/2203572 [18] 唐麗英教授,'簡單迴歸分析與相關分析',國立交通大 學,2015zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/98243-
dc.description.abstract目前,相關的室內定位研究以及實際的需求越來越大,而使用iBeacon來當定位工具的情形也越來越廣泛,但定位的精準度卻一直是亟待改善的部分。尤其是當對象為盲人時,因為他們無法像一般人一樣,能夠憑著看的見周遭環境來做自身位置的判斷,故定位的精準度對他們來說更是重要。 本研究主要是利用手機以及太和光所開發的有聲iBeacon來做室內定位,經由iBeacon本身所發出的聲音,利用回歸分析法來證明聲音DB值與RSSI訊號為正相關。並依此為基礎,設計手機上的導航APP,透過不同場域的實測,證明經由聲音的輔助確實能夠有效的提升定位精準度,修正因為RSSI訊號的不穩定所造成的定位誤差,比起以往其他的相關研究,單純只用RSSI訊號來做為唯一的定位依據,提供了一個全新的方法來做定位精準度的強化。最後,再實際的模擬盲人來操作,其結果的確有效的幫助並改善了盲人在室內移動的不便。zh_TW
dc.description.abstractCurrently, the needs for the studies and practical demand for indoor positioning have been growing gradually. Additionally, iBeacon for positioning has been widely used recently; however, its accuracy has always been an issue for improvement. Particularly when the users are people with visual impairment, because they are not able to judge their positions by seeing their surroundings as other ordinary people do; therefore, the positioning accuracy is extremely important for them. The purpose of this study is to utilize mobile phones and Audio iBeacon which developed by THLight Inc. for indoor positioning. Through the sound from the iBeacon to conduct a regression analysis method and prove the dB value has a positive correlation with the RSSI signal. Afterward, design a navigation mobile application with this basis and implement various real-world experiments to confirm the design could effectively increase the positioning accuracy from creating an auxiliary sound with the RSSI signal, as well as correcting the errors that caused by the unstable RSSI signal. Compared with other studies that purely considered RSSI signals for the only positioning basis, this study presents a brand new auxiliary system to reinforce the positioning accuracy. At the end of the research, this study also simulated real scenarios for the people with visual impairment to operate the design; the result indeed demonstrated that the design could assist the visually impaired users and improve their inconvenience in moving indoors.en_US
dc.description.tableofcontents致謝詞 i 摘要 ii Abstract iii 目錄 iv 圖目錄 vi 表目錄 viii 第一章 緒論 1 1.1 研究動機 1 1.2 研究目的 2 1.3 論文架構 3 第二章 現階段室內定位技術探討 4 2.1定位方法 4 2.1.1到達時間測量法(Time of Arrival, TOA) 5 2.1.2到達時間差測量法 (Time Different of Arrival,TDOA) 6 2.1.3接收訊號角度測量法(Angle of Arrival,AOA) 7 2.1.4接收訊號強度測量法(Received Signal Strength Indicator,RSSI) 8 2.1.5定位方法比較 8 2.2定位感測技術 9 2.2.1紅外線/雷射 9 2.2.2 RFID 10 2.2.3 Wi-Fi 11 2.2.4 ZigBee 12 2.2.5 iBeacon 12 2.2.6定位感測技術的比較 13 第三章 研究方法與架構 14 3.1硬體 14 3.1.1iBeacon相關介紹 14 3.1.2手機相關介紹 17 3.2軟體 18 3.2.1手機APP軟體開發平台 18 3.3 相關技術 20 3.3.1錄音以及DB值計算 20 3.3.2簡單線性迴歸分析(Simple Regression Analysis) 21 3.3.3動畫Animator以及貝塞爾曲線 23 3.3.4Android Speech Recognition 26 3.4系統架構與設計 27 3.4.1找尋最佳的聲音頻率作為依據 27 3.4.2不同距離下,RSSI與聲音DB值的相互關係 29 3.4.3靜態取得RSSI以及聲音DB值來做定位修正 32 3.4.4動態取得RSSI以及聲音DB值來做定位修正 34 3.4.5不同場域驗證 36 第四章實驗結果與分析 39 4.1聲音頻率 39 4.2RSSI與DB值的相對關係 41 4.3靜態定位修正 43 4.4動態定位修正 45 4.5不同場域的測試 47 第五章 結論與未來展望 49 5.1結論 49 5.2未來展望 50 參考文獻 51zh_TW
dc.language.isozh_TWzh_TW
dc.rights同意授權瀏覽/列印電子全文服務,2022-01-24起公開。zh_TW
dc.subject室內定位zh_TW
dc.subjectiBeaconzh_TW
dc.subjectRSSIzh_TW
dc.subject盲人zh_TW
dc.subject導航zh_TW
dc.subjectIndoor Positioningen_US
dc.subjectiBeaconen_US
dc.subjectRSSIen_US
dc.subjectBlinden_US
dc.subjectNavien_US
dc.title有聲iBeacon於室內定位之輔助zh_TW
dc.titleAcoustic iBeacon assisted by indoor positioningen_US
dc.typethesis and dissertationen_US
dc.date.paperformatopenaccess2019-01-24zh_TW
dc.date.openaccess2022-01-24-
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item.openairetypethesis and dissertation-
item.cerifentitytypePublications-
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item.languageiso639-1zh_TW-
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