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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96020

    Title: A Speaking Aid Using Neural Networks for the Deaf
    Authors: Su, Mu-Chun
    Contributors: 淡江大學電機工程學系
    Keywords: 類神經網路;說話輔助器;模糊系統;Neural Network;Speaking Aid;Fuzzy System
    Date: 1996-05
    Issue Date: 2014-02-13 11:35:37 (UTC+8)
    Abstract: In this paper, we propose to use two EMI-Gloves connected to an IBM compatible PC via Degraded HyperEllipsoidal Composite Neural Networks (DHECNNs) to implement a prototype speaking aid for the deaf or non- vocal persons. Using a special learning scheme, the DHECNNs can quickly learn the complex mapping of measurements of ten fingers' flex angles to corresponding categories. The prototype speaking aid is evaluated for the classification of 51 static hand gestures from 4 "speakers". The recognition accuracy for the testing set is 92.3%.
    Relation: 第二屆國際醫學工程週論文集=Proceedings of the 2nd Medical Engineering Week of the World,頁244-249
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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