淡江大學機構典藏:Item 987654321/94550
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/94550


    Title: 動態手勢辨識技術於智慧型行動裝置操控之應用
    Other Titles: Application of hand gesture technology on the manipulation of smart mobile devices
    Authors: 陳建宇;Chen, Jian-Yu
    Contributors: 淡江大學電機工程學系碩士在職專班
    周永山;Chou, Yung-Shan
    Keywords: 手勢辨識;K-means分類;Gesture Recognition;Fuzzy Clustering;Android.
    Date: 2013
    Issue Date: 2014-01-23 14:45:39 (UTC+8)
    Abstract: 本論文提出一套智慧型行動裝置與手勢辨識結合的系統，此系統透過無線攝影機擷取即時影像資訊，並搭配手勢辨識演算法，讓使用者可手勢控制音響設備。
    本論文的模擬情境設置於一般居家環境，在電腦端設計一個GUI 介面，使用者可藉此介面擷取即時影像並執行辨識演算法。其流程乃是在擷取手勢影像後，利用K_means方法進行膚色偵測及萃取得手勢特徵，辨識手勢姿態，然後將辨識後的結果加以編碼。另外，搭配Eclipse軟體撰寫Android智慧型手機音樂播放程式，此播放程式經由TCP/IP接收編碼後的手勢指令，進而實現音響設備的控制。
    本文著重在影像演算法上進行改良，使其偵測人體膚色的方法更具強健性，並將演算法實現於智慧型行動裝置之控制，透過使用者的手勢來進行音樂播放控制，實現智慧居家的夢想。
    This thesis presents a hand gesture recognition algorithm and integrates it with the smart mobile devices for controlling an audio equipment. Specifically, the resulting system adopts a non-contacting way for hand gesture recognition, which captures the live video image through a wireless camera, recognizes hand gestures via the proposed algorithm, and operates with a friendly interface. As a result this allows the users to perform remote control of audio equipments.
    The proposed hand gesture recognition algorithm consists of skin color detection and hand gesture recognition, in which the K-means clustering classifier is used. Experiment shows that the proposed skin color detection method is more robust than a well-known statistical method, and the verification rate is increased. In addition, a music player program is developed upon the Android platform under the help of Eclipse software. This makes the remote control of audio equipment by hand gesture come true.
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Thesis

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