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Author: 蘇冠豪
Kuan-hao Su
Thesis Title: 手勢辨識在嵌入式系統DSP之應用
Gesture Recognition Applications in Embedded System on DSP
Advisor: 洪西進
Shi-Jinn Horng
古鴻炎
Hung- yan Gu
Committee: 林韋宏
Wei-hong Lin
高宗萬
Tzung-Wan Gau
顏成安
Cheng-An Yen
Degree: 碩士
Master
Department: 電資學院 - 資訊工程系
Department of Computer Science and Information Engineering
Thesis Publication Year: 2013
Graduation Academic Year: 101
Language: 中文
Pages: 115
Keywords (in Chinese): 手勢辨識嵌入式系統DSPHarr-like featureORB。
Keywords (in other languages): Embedded System, DSP, Harr-like feature, Gesture Recognition
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本論文將手勢辨識發展於日常生活上,改善遙控式與接觸式功能產品較難以實現的情況。DSP(Digital Signal Process)系統在訊號的處理上具有很好的效能,其可透過內部的硬體架構來達到平行處理的運算,並由於其低耗電量的特色使個人化與攜帶式的資訊產品為運用此硬體的關鍵之一。故本論文在DSP嵌入式系統開發板上開發出一套系統,在電器上結合手部追蹤與手勢辨識,讓使用者僅需透過自己的雙手便能以遠距離使用產品的功能,提供了更輕鬆,更便利的生活。在本論文中,我們提出掃描法、累加值運算法與比例法進行手部的定位,在追蹤上混合了Harr-like feature與The Orientated FAST and Rotated BRIEF(ORB)兩個方法來完成。由實驗的結果可以得知,利用我們提出的方法進行手部追蹤與辨識,不但可以在受干擾的環境下有效的完成指令,亦可達到即時手勢辨識的效果。
關鍵字: 手勢辨識、嵌入式系統、DSP、Harr-like feature、ORB。


This article will let gesture recognition developed in daily life, and improved remote control and touch-function’s situation which is difficult to achieve.
DSP (Digital Signal Process) in signal processing has a good performance, which may be achieve parallel processing operations through internal hardware architecture, there are many manufacturers use DSP image processing or identification features, and one of the key to use this hardware is because of its low power consumption characteristics of the personal and portable information product. So in this paper, we used DSP embedded system board develop a set of systems, which is applied combined with hands tracking on television and gesture recognition, allowing users to control the functions only by their own hands in long distance, which providing easier and more convenient life.
In this paper, we propose a scanning method, the accumulated value calculation method and proportion method for hand positioning, re-use Harr-like feature, and The Orientated FAST and Rotated BRIEF looking for hand features to complete hand tracking and recognition.
From the experimental results, the use of the proposed method for hand tracking and recognition, which is not only can achieve real time hand tracking results but also can also effectively complete instructions under the disturbed environments.
Key word: Gesture Recognition、Embedded System、DSP、Harr-like feature、ORB。

第一章 序論 10 1.1 研究動機與目的 10 1.2 相關研究 11 1.3 論文章節安排 13 第二章 系統架構與相關硬體規格 14 2.1 系統架構 15 2.1.1 輸入影像部分 15 2.1.2 辨識影像部分 15 2.1.3 輸出影像/訊號部分 16 2.2 相關硬體規格 18 2.3 實驗環境簡與系統操作說明 20 第三章 手勢定位與追蹤 23 3.1 影像前處理 23 3.1.1 時間差相減法 25 3.1.2 侵蝕運算 27 3.1.3 擴張運算 28 3.1.4 連通結構標示 31 3.1.5 Sobel邊緣偵測 38 3.2 手部定位 41 3.2.1 掃描法 41 3.2.2 比例法 48 3.3 手部追蹤 51 3.3.1 Online-Boosting 52 3.3.2 Harr-like feature 52 3.3.3 強化特徵權重值 63 3.3.4 積分影像 65 3.3.5 The Orientated FAST and Rotated BRIEF 68 3.4 手部握拳偵測 76 3.5 手部揮動偵測 79 第四章 系統效能與實作 85 4.1 系統實現流程 85 4.2 系統效能說明 86 4.2.1 開機 86 4.2.2 選取數字功能 87 4.2.3 快速選台 88 4.2.4 音量控制 89 4.3 系統實作測試 89 4.3.1 系統動作測試 90 4.3.2 系統動作測試數據 105 第五章 結論 108 5.1 研究成果 108 5.2 未來展望 110 參考文獻 111

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