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    Title: 應用聲母簡化注音輸入法改善盲多重障礙者溝通輔具輸入效率之研究
    Other Titles: A study on input efficiency of communication device for visually impaired people with multiple disabilities using initial consonant to simplify Zhuyin input method
    Authors: 李俊材;Li, Jun-Cai
    Contributors: 淡江大學機械與機電工程學系碩士班
    葉豐輝
    Keywords: 聲母;注音輸入法;盲多重障礙者;溝通輔具;Initial Consonant;ZhuYin Input Method;Visually Impaired people with Multiple Disabilities;Assistive Communication Device
    Date: 2012
    Issue Date: 2013-04-13 11:56:06 (UTC+8)
    Abstract: 本文旨在應用聲母簡化注音輸入法改善盲多重障礙者溝通輔具輸入效率之研究,研究中首先藉由影像裝置擷取頭部擺動影像,經由Haar臉部特徵偵測追蹤系統,藉由臉部之鼻子特徵中心位置與移動角度計算頭部擺動方向,並應用聲母簡化注音輸入法結合語音合成編輯系統發聲並同時進行文字輸出,完成與外界溝通之目的。由於聲母簡化注音輸入法常產生一對多組詞的問題,本研究利用詞的最後一個字之完整注音符號,建立一對一的詞庫,解決盲多重障礙者利用擺頭操作溝通輔具不易選詞的問題。
    研究中除了測試所完成Haar臉部特徵偵測追蹤系統結合聲母簡化注音輸入法之溝通輔具外,亦比較以往利用Haar臉部特徵偵測追蹤系統結合一般注音輸入法之溝通輔具的輸入效率,比較結果顯示,使用Haar臉部特徵偵測追蹤系統透過聲母簡化注音輸入法比透過一般注音輸入法之輔具,提高53.61%的輸入效率,有效改善盲多重障礙者溝通輔具的輸入效率。
    本研究成果不僅可減少盲多重障礙者擺頭次數,有效提升盲多重障礙者溝通輔具的輸入效率,亦可創造盲多重視障者優質化的學習和生活環境。
    The objective of this thesis is to improve input efficiency of communication device for visually impaired people with multiple disabilities using initial consonant to simplify ZhuYin input method. At first, the images of head shaking are captured through an image device in the study by the Haar facial feature detection and tracking systems. The moving position of the nose center is computed to identify the directions of head shaking, and then using initial consonant to simplify ZhuYin input method with the voice communication and text output are achieved by the combined text-to-speech editor, and accomplished the communication with the outside world. The input method has a problem that the simplified inputs often generate many corresponding words. This study creates the one-to-one thesaurus using all the phonetic symbols of the last word to solve the problem that the visually impaired people with multiple disabilities can not easily choose the different words by shaking head to operate the communication device.
    In this study, the newly accomplished communication device combined the Haar facial feature detection and tracking systems with initial consonant to simplify ZhuYin input method had been tested. Besides, the input efficiency of the new communication device was compared with the input efficiency of the communication device that formerly combined the Haar facial feature detection and tracking systems with ordinary phonetic input method. The result showed that the input efficiency of the new communication device increased by 53.61%. The new communication device effectively improves the input efficiency.
    The results of this study can reduce the shaking head times to effectively enhance the efficiency of communication device for visually impaired people with multiple disabilities, and can also create the quality assured accessibility environment of learning and living.
    Appears in Collections:[機械與機電工程學系暨研究所] 學位論文

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