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| 研究生： |
曾珧彰 Tseng, Yao-Chang |
|---|---|
| 論文名稱： |
穿戴六軸感測裝置之展演者的即時步伐方向追蹤定位 Real Time Performer Positioning with Step and Direction Tracking using Wearable IMU Devices |
| 指導教授： |
蔡子傑
Tsai, Tzu-Chieh |
| 口試委員: |
周承復
Chou, Cheng-Fu 吳曉光 Wu, Hsiao-Kuang 蔡子傑 Tsai, Tzu-Chieh |
| 學位類別： |
碩士
Master |
| 系所名稱： |
理學院 - 資訊科學系 |
| 論文出版年： | 2019 |
| 畢業學年度： | 107 |
| 語文別： | 英文 |
| 論文頁數： | 54 |
| 中文關鍵詞： | 虛擬實境 、穿戴式裝置 、互動科技 、互動展演 、定位技術 、慣性感測單元 、即時追蹤 |
| 外文關鍵詞： | VR, Wearable Device, Interactive technology, Interactive performing, Positioning Technique, IMU, Real-time tracking |
| DOI URL： | http://doi.org/10.6814/NCCU201900679 |
| 相關次數： | 點閱：119 下載：40 |
| 分享至: |
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近年來，利用穿戴式裝置結合虛擬實境或互動科技，來進行即興創作表演，是種新型態的數位藝術展演方式。之前的研究成果已有整合的平台，可以將表演展的姿態利用穿戴式裝置擷取，呈現在表演的虛擬物件，進行互動展演。但還欠缺表演展的位置的即時追蹤，才能更完整地讓展演順暢自然。
之前相關的定位技術研究，大多只探討誤差範圍，無法即時準確地追蹤，在表演的應用上無法直接運用。本研究希望是利用穿戴式裝置上的IMU六軸感測器資料，就能達成此目標。我們參考過往方法，經過不斷實驗驗證，提出以步伐和方向的判斷演算法，整合出解決表演中即時追蹤的問題。實驗結果確認了我們的方法可以有很好的成效，希望這一套平台，可以讓固有的展演型態創造新的樣態，展現台灣軟硬結合的文化創意實力。
Recently, improvisational performance using wearable devices combined with virtual reality (VR) or interactive technology has become a new type of digital art performing. Our previous research results have developed a platform that can “capture” the body gesture using wearable devices to render appearance of virtual objects for art performance. However, it still need the real-time position tracking of the performer to make the performance smoothly and naturally.
Previous related works regarding the positioning techniques mostly focused on the error distances. They cannot be directly adopted in the practical performing art due to unsatisfactory real-time position tracking. The goal of the research is to achieve acceptable tracking performance using only IMU wearable sensors. We inspired from many methods by lots of experiments, a real-time positioning with “foot-step” and “direction-judge” tracking algorithm is proposed to solve this problem. The experiment results are satisfactory with very good feasibility. We hope the platform can enrich the performing patterns in digital arts, and empower the cultural innovation and integration capability of software and hardware industry in Taiwan.
Chapter 1 Introduction 1
1.1 Foreword 1
1.2 Motivation 1
1.3 Research Target 3
Chapter 2 Hardware System and Platform 5
2.1 Hardware Device 5
2.1.1 Raspberry Pi 5
2.1.2 NCCU CS Sensor 7
2.2 The Communication Protocol 8
2.2.1 MQTT Protocol 8
2.3 Related Performance 9
2.3.1 National Shanghai Music Festival 9
2.3.2 Tamsui Music Festival 12
2.3.3 High School Promotion 14
Chapter 3 Background 16
3.1 The inertial positioning system [10] [11] 16
3.2 Navigation application in flying area 17
3.3 Foot step detection system 18
3.4 Position system by using machine learning [13] [14] 18
3.5 RSSI 19
3.6 Conclusion 19
Chapter 4 Related Research 21
4.1 Related filter algorithm or method 21
4.1.1 Fast Fourier Transform 21
4.1.2 Moving Filter 22
4.1.3 Complementary Filter 24
4.1.4 Gravity Remove 25
4.2 Related Research paper 26
4.2.1 Method 1 26
4.2.2 Method 2 27
4.3 Conclusion 29
Chapter 5 Paper Method 30
5.1 Method 1 30
5.2 Method 2 33
5.2 Method 2 Conclusion 36
5.3 Method 3 37
Chapter 6 Experiment 41
6.1 Foot step system’s experiment 41
6.2 Most active axis experiment 43
6.3 Fast Fourier Transform 44
6.4 Data experiment 47
6.5 Forward experiment 48
6.5 Method Compared 50
6.6 Conclusion 50
Chapter 7 Future Work and Result 51
7.1 Future Work 51
Reference 52
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