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題 名 | Morse Code Recognition System with Adaptive Fuzzy Algorithm for the Disabled=適應性模糊演算法應用於身心障礙人士的摩斯碼辨識系統 |
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作 者 | 吳崇民; 羅錦興; 林淑玟; 陳世中; 謝明哲; 趙春棠; 戴政祺; | 書刊名 | Journal of Medical and Biological Engineering |
卷 期 | 22:4 2002.12[民91.12] |
頁 次 | 頁205-210 |
分類號 | 312 |
關鍵詞 | 摩斯碼; 身心障礙; 模糊理論; 適應性演算法; Morse code; Disabilities; Fuzzy theory; Adaptive algorithm; |
語 文 | 英文(English) |
中文摘要 | 摩斯碼對重度身心障礙者來說是一種有效率的溝通工具,使用者利用長短音的序列組合便可表示出各種字元。但要身心障礙者保持固定的輸入速度是非常困難的。為了消除摩斯碼在輸入速度上的嚴格限制,有許多演算法被用來以追蹤使用者的打字速度,包括適應性不穩定速度預測演算法(AUSP)、最小均方根及相配演算法(LMS&M)、適應性可變率閥值預測演算法(AVRTP)及倒傳遞類神經網路(BPN)等演算法。這些演算法雖然成功的解決了使用者不穩定輸入速度的問題,但在數學運算上,也相對的變的更加複雜。本研究試著以模糊理論配合適應性演算法來辨識摩斯碼,期望能滿足使用者各種不穩定的輸入速度,以提高摩斯碼辨識率。 |
英文摘要 | The Morse code is an efficient tool for the severe disabilities that is always used to represent various characters by a series of long-short sounds. To keep a fixed input speed that is difficult for the disabled people. In order to release the serious limitation of typing speed control, several algorithms were proposed to chase the typing pattern of a user, including adaptive unstable-speed prediction (AUSP), least mean square and matching (LMS&M), adaptive variable-ratio threshold prediction (AVRTP), and the back propagation neural network (BPN). It is successful to solve the problem of the irregular input speed, but the mathematic computation becomes more and more complex. In this study, we try to use fuzzy theory combining with the adaptive algorithm to recognize the Morse code, expecting to adapt all kinds of variation for users, and raising the recognition rate. |
本系統中英文摘要資訊取自各篇刊載內容。