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作者(中文):翁偉昇
作者(外文):Wong, Wei-Sheng
論文名稱(中文):虛擬觸控板 :以智慧型手機配合深度鏡頭之指尖偵測與追蹤
論文名稱(外文):Virtual Touchpad: Fingertip Detection and Tracking Using Smartphone with Depth Camera
指導教授(中文):黃仲陵
林嘉文
指導教授(外文):Huang, Chung-Lin
Lin, Chia-Wen
口試委員(中文):柳金章
張春明
口試委員(外文):Jin-Jang Leou
Chun-Ming Chang
學位類別:碩士
校院名稱:國立清華大學
系所名稱:電機工程學系
學號:101061538
出版年(民國):103
畢業學年度:103
語文別:英文
論文頁數:50
中文關鍵詞:智慧型手機手勢深度影像
外文關鍵詞:smartphonegesturedepth
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本論文提出一個可在智慧型手機上快速運作的手掌辨識、指尖辨識與追蹤方法,可用於建構即時的虛擬觸控系統。系統的輸入為使用智慧型手機HTC One(m8)擷取之連續的深度影像。本虛擬觸控系統的操作概念是以單手在鏡頭前張開作為系統啟動的手勢後,即開始進行指尖的觸控偵測。因此本系統主要可分為三個階段:開掌手勢偵測、指尖點的偵測追蹤、觸控點的偵測以及對於觸控點的軌跡進行分析。先以擷取之深度影像取出鏡頭前物件,以快速且低資源需求的幾何方法迅速識別開掌之手勢,同時將手分為手臂、手掌、手指三部分。隨後開始於深度影像上尋找端點作為可能的指尖點,以手掌與手臂的位置可對指尖點進行過濾以取得正確之指尖點。最後便可對指尖點進行追蹤並做觸控點的判斷,取得觸控點後便可回傳觸控位置至手機上的應用程式加以分析。可分析手勢包含單指之輕觸、拖曳與長按,雙指之旋轉與縮放,五指之抓取。手勢在擷取分析後可立即提供參數給應用程式執行對應動作。本方法使用較少的運算量且不需大量記憶體,其快速的處理速度使得將來在手機上以手勢於空中操作觸控系統的概念得以實現。
This thesis presents a virtual touchpad system for smartphone by using image processing technology based on the depth image captured by HTC One (m8). This system consists of three modules: (1) open palm gesture recognition, (2) active fingertip detection and tracking, and (3) finger gesture recognition. To recognize the open palm gesture, we separate the hand region into three parts: arm, palm, and fingers, and find the fingertips. Then, we locate the position of the fingertips in 3D space to detect the active fingertips. Finally, the trajectory of the active fingertips can be analyzed to recognize the finger gestures. This method can operate in real-time with high precision for implementing the virtual touchpad system.
Contents
Chapter 1 Introduction 6
1.1 Motivation 6
1.2 System Overview 6
1.3 Experiment Environment Error! Bookmark not defined.
1.4 Contribution Error! Bookmark not defined.
1.5 The organization of this thesis Error! Bookmark not defined.
Chapter 2 Related works 11
Chapter 3 Handshape Detection 13
3.1 Threshold selection 14
3.2 Distance Transform 15
3.3 Open palm detection 16
Chapter 4 Finger Gesture Recognition for Virtual Touchpad 23
4.1 Active Fingertip Detection 24
4.2 Active Fingertip Tracking 25
4.3 On-click Gesture detection 28
4.4 Finger Gesture Detection 30
Chapter 5 The Experimental Results 34
5.1 2D Fingertip detection 34
5.2 Open-hand detection 36
5.3 Fingertip tracking 37
5.4 On-click gesture detection 38
5.5 On-press gesture detection 39
5.6 Finger Gesture Gesture Recognition and Precision Analysis 40
5.7 Processing Time 46
Chapter 6 Conclusion 48
References Error! Bookmark not defined.
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