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研究生: 鄭仲祐
Cheng, Chung Yu
論文名稱: 穿戴式互動展演創新應用與即時追蹤技術研究
Interactive Performance Using Wearable Devices: Real-time Tracking Technology and Innovative Applications
指導教授: 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: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 44
中文關鍵詞: 藍牙4.0虛實互動表演即時體態捕捉即時追蹤穿戴式裝置
外文關鍵詞: Bluetooth 4.0, virtual-character integrated interactive perform, Real-time motion capture, Real-time Tracking, Wearable devices
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  • 近年來越來越多虛實整合技術不斷地湧出,像是電影阿凡達或虛實互動型態的表演。這樣的表演會根據事先預錄好的虛擬角色進行演出,但要成功地演出需要演員們不斷的練習。另外,許多電影利用攝影機捕捉人體姿態來與虛擬角色互動,但此方法受限於燈光環境以及障礙物。
    此篇論文運用穿戴式裝置與新一代無線網路藍芽4.0,提出即時追蹤技術套用於這類表演,可使得演出更加豐富並且能即興創作。然而,目前受限於穿戴式平台上的藍芽訊號強度更新頻率每秒只有5至10次且傳輸容量有限,所以本篇論文結合體態感測裝置輔助無線網路藍芽4.0,提升對穿戴者的即時追蹤能力。實驗結果與真實位置只有0.3至0.5秒的延遲時間,並在校內進行兩場互動式展演作驗證成果。未來期許可以將此技術運用於多人展演場,讓更多使用者可以互動體驗。


    Recently, more and more interactive performance technologies appear such as Avatar or virtual-character integrated art perform. Such performs are based on pre-made animations and physics simulations. However, this kind of shows need a lot of practice, and it is impossible that audience or performers play with or interact with the virtual characters. In addition, many moviemakers use high quality cameras to distinguish body postures. Although cameras can record anything with high precision, it is constrained on the light and obstacles of the environments.
    If we, somehow, can capture the motion of the performers in real time, then we are able to interact with virtual characters and make improvisation possible. This thesis aims to use the wearable sensors and the Received Signal Strength Indication (RSSI) of BLE to track in real-time. However, the update rate of RSSI is limited to 5~10 per second. This thesis proposed a tracking technique which combines with wearable motion sensors to assist BLE localization. The tracking lag can be reduced to only 0.3~0.5 seconds, and also real performance was experimented in the campus. In the future, we hope to use this technique on interactive performance with many people in different places.

    CHAPTER 1 Introduction 1
    1.1 Background 1
    1.2 Motivation 2
    1.3 Purpose 2
    1.4 Organization 3
    CHAPTER 2 Related Work 4
    2.1 Indoor Localization 5
    2.2 Gait Analysis 7
    2.3 Inertial Sensor Measurements and RSSI 8
    CHAPTER 3 Localization Algorithm 9
    3.1 System Environment 10
    3.1.1 Acceleration 11
    3.1.2 Feet Movement 14
    3.1.3 Beacon Location 16
    3.2 Fault tolerance 22
    3.2.1 Deployment 23
    3.2.2 Frame Rate 24
    3.2.3 Coordinators 25
    CHAPTER 4 Experimental Evaluation 26
    4.1 Simulation Setup 26
    4.2 Simulation Results 29
    4.2.1 Absolute position 29
    4.2.2 Real performance in Campus 36
    CHAPTER 5 Conclusions and Future Work 40
    REFERENCES 41

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