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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 黃耀輝 | zh_TW |
| dc.contributor.advisor | Yaw-Huei Hwang | en |
| dc.contributor.author | 林恒緖 | zh_TW |
| dc.contributor.author | Heng-Hsu Lin | en |
| dc.date.accessioned | 2024-08-28T16:16:16Z | - |
| dc.date.available | 2024-08-29 | - |
| dc.date.copyright | 2024-08-28 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-08-05 | - |
| dc.identifier.citation | 行政院勞動部職業安全衛生署：111年勞動檢查統計年報-職業災害統計。勞動部職業安全衛生署，臺北市，2023。引用：2024/06/10。Availabe from:https://www.osha.gov.tw/48110/48331/48333/48339/150732/post
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/95101 | - |
| dc.description.abstract | 在營建工程業的作業環境中，導致跌倒與墜落意外事件的發生始終居高不下。本研究從評估個人姿勢穩定性的方向切入，試圖利用智慧型手機加速度計建立一套檢測預防系統，驗證智慧型手機加速度計對姿勢平衡量測的加速度資料是否具有可靠性。研究方法為將智慧型手機加速度計放置於受試者的軀幹上，同時受試者站立於力板上進行身體平衡的同步量測，在睜眼雙腳站姿、閉眼雙腳站姿、前後腳成直線站姿及單腳站姿等不同站立姿勢下，分別收集身體壓力中心（CoP）的量測數據，以進行身體平衡數據變化上的一致性比對。
實驗結果顯示，在智慧型手機加速度計與力板的受試者M-L方向同步量測數據中，大部分的相關係數皆可以達到0.7以上。另外在M-L方向的同步量測時序性變化曲線比較上，各受試者同步量測數據差異平均值在其他不同受試者的差異累積機率分佈（CDF）中均落在0.025~0.975之間的統計分析結果，顯示智慧型手機加速度計與力板同步量測數據之間時序性數據變化趨勢相似。而在身體壓力中心（CoP）相關參數的分析結果中，智慧型手機加速度計與力板量測結果對於受試者不同站立姿勢之間有相當的辨識能力，例如以重複量測ANOVA（repeated measures ANOVA）分析可檢視其能分辨睜眼雙腳站姿與單腳站姿之間的差異（p值 < 0.05）。另外智慧型手機加速度計所收集到的重複量測ANOVA（repeated measures ANOVA）分析數據足以區分前後腳成直線站姿及單腳站姿之間的差異（p值 < 0.05），而力板則不行，顯示智慧型手機加速度計的量測數據在部分情況下具備成為新姿勢穩定度量測方法的潛力。 本研究作為方法開發的先行研究，以上的實驗結果可以證明智慧型手機加速度計在量測身體姿勢穩定度具有可靠性，可作為未來的工人姿勢穩定性預防辨識系統設計的基礎，以開發實時量測工具應用於職業衛生領域。 | zh_TW |
| dc.description.abstract | In the construction industry, the incidence of accidents due to falls remains persistently high. This study aims to evaluate the reliability of using smartphone accelerometers to measure postural stability by assessing individual posture. The research investigates whether accelerometer data from smartphone accelerometers can reliably measure postural balance. The methodology involves placing a smartphone accelerometer on the trunk of participants while they stand on a force plate to simultaneously measure body balance. Measurements of the center of pressure (CoP) are collected in various standing postures, including standing with eyes-open, standing with eyes-closed, tandem stance, and single-leg stance, to compare the consistency of body balance data.
The experimental results indicate that, in the M-L direction of the simultaneous measurements from the smartphone accelerometer and the force plate, most correlation coefficients reached 0.7 or higher. Additionally, in comparing the temporal changes in the M-L direction, the mean differences in simultaneous measurement data among different participants were within the cumulative distribution function (CDF) range of 0.025 to 0.975. This suggests a similar trend in temporal data changes between the smartphone accelerometer and force plate. In the analysis of CoP parameters, the measurement results from the smartphone accelerometer and force plate demonstrated a considerable ability to differentiate between different standing postures. For example, repeated measures ANOVA analysis revealed significant differences between standing with eyes-open and single-leg stance (p < 0.05). Moreover, the repeated measures ANOVA data collected by the smartphone accelerometer could distinguish between tandem stance and single-leg stance (p < 0.05), whereas the force plate could not, indicating that the smartphone accelerometer data have the potential to serve as a novel method for measuring postural stability in certain conditions. As a preliminary study for method development, the results demonstrate the reliability of smartphone accelerometers in measuring postural stability, providing a foundation for future development of worker postural stability prevention and identification systems. This can lead to the development of real-time measurement tools applicable in the field of occupational health. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-08-28T16:16:15Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-08-28T16:16:16Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 謝辭 i
摘要 ii Abstract iii 圖次 ix 表次 xi 第一章 前言 1 1.1 研究背景 1 1.2 研究目的 4 第二章 文獻回顧 5 2.1 營建作業現場之危害 5 2.1.1 跌倒與墜落 5 2.1.2 平衡與穩定性 6 2.2 姿勢穩定性量測工具 9 2.2.1 力板（Force Plate） 9 2.2.2 三軸加速度計（Three-Axis Accelerometer） 10 2.2.3 加速度計之應用 11 2.2.4 三軸加速度計佩戴位置 12 2.2.5 智慧型手機加速度計 13 第三章 材料與方法 15 3.1 研究架構 15 3.2 研究對象 18 3.3 力板 19 3.4 智慧型手機加速度計 20 3.4.1 智慧型手機規格 20 3.4.2 加速度計應用程式 21 3.4.3 智慧型手機加速度計靜置時軸向定位實驗 22 3.4.4 加速度數據轉換 23 3.5 力板與智慧型手機加速度計量測結果相關性測試 25 3.5.1 特定測試動作定義 25 3.5.2 智慧型手機加速度計佩戴位置 28 3.5.3 智慧型手機加速度計量測數據分析頻率比較測試 29 3.5.4 智慧型手機加速度計與力板對身體平衡量測數據一致性比對 30 3.6 統計分析 32 3.6.1 描述性統計分析 32 3.6.1.1 智慧型手機加速度計靜置時軸向定位實驗 32 3.6.1.2 智慧型手機加速度計量測數據分析頻率比較 32 3.6.1.3 智慧型手機加速度計與力板對身體平衡量測數據一致性比對 33 3.6.2 身體壓力中心（CoP）參數分析 35 3.6.2.1 量測參數 35 3.6.2.2 統計分析方法 38 第四章 結果 40 4.1 智慧型手機加速度計靜置軸向定位實驗 40 4.2 智慧型手機加速度計量測數據分析頻率比較 44 4.3 智慧型手機加速度計與力板對身體平衡量測數據一致性比對 52 4.3.1 同步量測結果相關性分析 52 4.3.2 智慧型手機加速度計與力板的時序性同步量測數據差異分佈分析 59 4.4 重複量測實驗 67 4.4.1 同步量測結果相關性分析 67 4.5 身體壓力中心（CoP）參數分析 69 4.5.1 Wilcoxon signed-rank test 73 4.5.2 重複量測ANOVA（repeated measures ANOVA）分析 78 第五章 討論 85 5.1 智慧型手機加速度計量測數據分析頻率比較測試之探討 85 5.1.1 分析時間長短對智慧型手機加速度計與力板同步量測數據一致性的影響 85 5.1.2 分析時間解析度對智慧型手機加速度計與力板同步量測數據一致性的影響 86 5.2 智慧型手機加速度計與力板同步量測之數據一致性 87 5.3 影響智慧型手機加速度計與力板同步量測數據一致性之因素 92 5.3.1 智慧型手機加速度計與力板量測原理差異 92 5.3.2 人體生物力學特徵 93 5.3.3 特定測試動作之難易度 94 5.3.4 小結 95 5.4 智慧型手機加速度計作為新興姿勢穩定度量測工具的潛力 96 5.5 本研究之優勢與限制 102 5.6 未來應用 103 第六章 結論 104 第七章 參考文獻 106 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 姿勢穩定性 | zh_TW |
| dc.subject | 智慧型手機加速度計 | zh_TW |
| dc.subject | 跌倒與墜落 | zh_TW |
| dc.subject | 標準量測工具 | zh_TW |
| dc.subject | falls | en |
| dc.subject | smartphone accelerometer | en |
| dc.subject | standard measurement tool | en |
| dc.subject | postural stability | en |
| dc.title | 以智慧型手機加速度計評估工作前建築工人身體穩定性的方法開發 | zh_TW |
| dc.title | Establishment of a Method Assessing the Construction Worker’s Physical Stability Prior to Work with Smartphone Accelerometer | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 蕭朱杏;李永輝;梁蕙雯 | zh_TW |
| dc.contributor.oralexamcommittee | Chu-Hsing Hsiao;Yung-Hui Lee ;Huey-Wen Liang | en |
| dc.subject.keyword | 跌倒與墜落,智慧型手機加速度計,標準量測工具,姿勢穩定性, | zh_TW |
| dc.subject.keyword | falls,smartphone accelerometer,standard measurement tool,postural stability, | en |
| dc.relation.page | 111 | - |
| dc.identifier.doi | 10.6342/NTU202402955 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2024-08-05 | - |
| dc.contributor.author-college | 公共衛生學院 | - |
| dc.contributor.author-dept | 環境與職業健康科學研究所 | - |
| dc.date.embargo-lift | 2026-08-31 | - |
| 顯示於系所單位： | 環境與職業健康科學研究所 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-112-2.pdf 未授權公開取用 | 5.08 MB | Adobe PDF | 檢視/開啟 |
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