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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/103690

    Title: 穿戴式動態手勢辨識裝置之設計與實現
    Authors: 周永山;黃品勳;何政昌
    Keywords: 手勢辨識;彎曲感測器;適應性卡爾曼濾波器;機率類神經網路;決策樹
    Date: 2015-07-02
    Issue Date: 2015-09-17 10:58:32 (UTC+8)
    Abstract: 本文研製一個結合手勢辨識技術之穿戴式裝置,應用於互動式的手語學習。技術上,利用彎曲感測器與穿戴式機構,量測各手指的彎曲角度和手腕的傾斜方向,將量測資訊,透過適應卡爾曼濾波器進行手勢變化偵測,當測得手勢趨近於靜態,則進行辨識。利用決策樹將不同手勢進行初步分類,接著再由機率類神經網路進行辨識,此方法提供相當大的誤差容忍度,也降低了辨識時的計算負擔
    Relation: 2015中華民國系統科學與工程研討會(NSSSE2015)
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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