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系統識別號 U0026-0109202002591300
論文名稱(中文) 助行器使用者之動態運動分析
論文名稱(英文) Dynamic Analysis of Movement for Walking-aid Users
校院名稱 成功大學
系所名稱(中) 機械工程學系
系所名稱(英) Department of Mechanical Engineering
學年度 108
學期 2
出版年 109
研究生(中文) 呂宗翰
研究生(英文) Tsung-Han Lu
學號 N16071558
學位類別 碩士
語文別 中文
論文頁數 131頁
口試委員 口試委員-張仁宗
口試委員-林啟倫
指導教授-田思齊
中文關鍵字 肌肉骨骼建模  助行器  步態  坐立姿態轉換  OpenSIM 
英文關鍵字 musculoskeletal modeling  Walking-aid  gait  sit-to-stand conversion  OpenSIM 
學科別分類
中文摘要 本研究建立一具有動力驅動與量測功能之助行器系統。助行器由底部驅動平台與握桿組合而成,配合人體穿戴之力量感測裝置,在使用者使用助行器於站坐姿態轉換與行走時,即時記錄使用者所受外力。此外,以攝影機記錄人體運動姿態,再使用人體模擬軟體進行人體運動分析。在人體狀態資訊方面,以 Kinect 取像系統進行運動姿態捕捉並即時運算辨識人體骨架的關節座標;以力敏電阻量測腳底正向力搭配等效面積概念簡化腳底受力情形;以荷重元量測使用者支撐於助行器握把上的力量。感測器採用雙藍牙主機進行無線資料傳輸以減少有線傳輸帶來的運動限制。將量測到的資料搭配 OpenSIM 進行肌肉骨骼模型建模並計算出關節力矩以及肌肉出力。實驗結果顯示,此系統所評估之肌肉力量與關節力矩有一定可信度。
英文摘要 This study aims to establish a power-driven walking-aid system with measuring function. The system consists of a powered base and a stick. By wearing force sensors, external forces on the user during the transition from sitting to standing and walking can be recorded in real-time. Besides, the user’s movement is recorded with a camera and then analyzed with software. As for body state recording, Kinect system is used to record the user’s movement and identify the corresponding joint positions; force sensitive resistors are placed on the user’s feet to measure the normal force based on the equivalent-area simplification; load cells are installed on the handle of stick to measure the force that the user exerts on the walking-aid system. In particular, instead of using wired system, all measured data are transmitted with two Bluetooth devices to avoid hindering the user’s movement. At last, based on the measured data, OpenSIM is utilized to build up a human musculoskeletal model and then calculate the joint torques and muscle forces respectively. The final result shows that the estimated muscle forces and joint torques are at a certain degree of reliability.
論文目次 圖目錄 iii
表目錄 ix
符號表 xi
第一章 緒論 1
第二章 OpenSIM介紹 4
2.1 參考模型 5
2.2 OpenSIM功能 11

第三章 人體模型與助行器系統 29
3.1 系統架構 29
3.2 系統參數 33

第四章 感測器 39
4.1 力敏電阻(Force Sensing Resistor) 39
4.1.1 力敏電阻參數校正 40
4.1.2 力敏電阻(FSR)之使用 45
4.2 荷重元(Load Cell) 49
4.2.1 荷重元原理 50
4.3 體態捕捉攝影機(kinect) 52

第五章 實驗與討論 58
5.1 實驗軟硬體 58
5.1.1 實驗硬體 58
5.1.2 實驗軟體 69
5.1.3 通訊介面 70
5.2 實驗條件與設定 74
5.2.1 人體參數 74
5.2.2 參考標記位置 75
5.2.3 實驗姿態 77
5.3 行走姿態實驗結果 79
5.3.1 kinect結果 80
5.3.2 力敏電阻(FSR)結果 81
5.3.3 荷重元(Load Cell)結果 83
5.3.4 OpenSIM結果 85
5.4 坐-立姿轉換實驗結果 . 102
5.4.1 kinect結果 102
5.4.2 力敏電阻(FSR)結果 104
5.4.3 荷重元(Load Cell)結果 106
5.4.4 OpenSIM結果 108

第六章 結論與未來展望 126
6.1 結論 126
6.2 未來展望 126
參考文獻 128
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