Study of Wireless Inertial Sensing System and Limb Motion Trajectory Reconstruction

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姓名

黃鉦傑(Jheng-Jie Huang) 查詢紙本館藏

畢業系所

生物醫學工程研究所

論文名稱

(Study of Wireless Inertial Sensing System and Limb Motion Trajectory Reconstruction)

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摘要(中)

本研究之目的在於開發多通道無線慣性感測系統及建構出上肢軌跡機重建演算法。本研究藉由九軸慣性感測器及ZigBee無線傳輸模組架構量測裝置並存取動作訊號，並利用經驗模態分解法、傅立葉分析與四元素法結合開發出軌跡演算重建方法演算上肢運動軌跡。此演算法利用經驗模態分解法與傅立葉轉換降低量測訊號之雜訊並藉由頻譜將角速度訊號轉換為角位移訊號，再利用四元素及空間旋轉矩陣轉換相對坐標系及絕對坐標系演算人體上之於空間座標之位置。
在演算法驗證部分，本研究將實驗室所開發之多通道無線慣性感測器貼附於機械手臂及人體上肢量測所設計的上肢動作，再藉由本研究所開發之軌跡演算法還原其運動軌跡。實驗結果顯示本研究所開發之無線慣性感測系統及軌跡演算法可重建任意起始位置之多關節的上肢動作軌跡並計算出關節於三維空間中的旋轉角。

摘要(英)

The purpose of this study is developing a wireless inertial sensing system and limb motion reconstruction algorithm. In this study, we employ two of nine-axis inertial measurement units and ZigBee wireless transmission module to consist a wireless inertial sensing device for acquiring motion signals. Then, combine EMD, spectral analysis and quaternion to develop algorithm for reconstructing the trajectory of limb motion. The algorithm employ quaternion as rotation matrix used to translate the coordinate between global coordinate and relative coordinate. EMD and spectral analysis are considered as filter to reduce noise of inertial signals and used to obtain angular displacement of each joint. After obtaining the angular displacement of each joint, the kinematic model will be applied for trajectory reconstruction.
As the verification of developed algorithms, we employ developed device and applied algorithm to reconstruct trajectories of designed motion of robotic arm and limb. The result of the experiment shows that the algorithm can be used to reconstruct the limb motion trajectory of multiple joints with different initial position and attitude, and estimate the rotation angles of multiple joints in 3-D space.

關鍵字(中)

★ 無線慣性感測器
★ 經驗模態分解
★ 頻譜分析
★ 軌跡重建

關鍵字(英)

★ wireless inertial sensing system
★ EMD
★ spectral analysis
★ trajectory reconstruction

論文目次

摘要
Abstract
誌謝
1-1 Background and Motivation
1-2 Literature Survey
1-3 Framework of The Thesis
2-1 Inertial Measurement Unit and Motion Tracking Device
2-1.1 Accelerometer
2-1.2 Gyroscope
2-1.3 Magnetometer
2-2 Common Error Model of Motion Tracking Device
2-2.1 Errors of Accelerometer and Gyroscope
2-2.2 Errors of Magnetometer
2-3 ZigBee Wireless System
3-1 Attitude Representation
3-1.1 Direction Cosine Matrix
3-1.2 Euler Angles
3-1.3 Quaternion
3-2 Empirical Mode Decomposition
3-3 Fourier Analysis
3-3.1 Definition
3-3.2 Application
4-1 Device Introduction
4-1.1 Inertial Sensing Module – MPU-6050 EVB
4-1.2 Control module – Arduino Fio
4-1.3 Wireless transmission Module – XBee
4-1.4 Inertial Measuring Device
4-1.5 User Interface
4-2 Device Calibration
4-2.1 Gyroscope
4-2.2 Accelerometer
4-2.3 Magnetometer
4-3 Algorithm of Motion Trajectory Reconstruction
4-3.1 EMD and Fourier Analysis
4-3.2 Algorithm to Determine Attitude
5-1 Filter verification
5-2 Cross-axis Sensitivities Measurement
5-3 Algorithm Verification
5-4 Trajectory Reconstruction of Upper Extremity
Reference

參考文獻

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指導教授

潘敏俊

審核日期

2015-1-29

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