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研究生: 吳崇民
Wu, Chung-Min
論文名稱: 應用於重度脊髓損傷患者之摩斯碼模糊辨識嘴控輸入系統
Morse Code-Based Mouth Controlled Input Device with Fuzzy Recognition for the Severe Spinal Cord Injuries
指導教授: 羅錦興
Luo, Ching-Hsing
學位類別: 博士
Doctor
系所名稱: 電機資訊學院 - 電機工程學系
Department of Electrical Engineering
論文出版年: 2005
畢業學年度: 93
語文別: 英文
論文頁數: 74
中文關鍵詞: 身心障礙者輔具脊髓損傷嘴控輸入系統摩斯碼模糊辨識
外文關鍵詞: handicapped, assistive tools, spinal cord injuries, McTin, Morse code, fuzzy recognition
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  •   在這資訊爆發的時代,幾乎家家戶戶都有電腦,只要透過電腦便能做到「秀才不出門,能知天下事」,而鍵盤與滑鼠更是必要的輸入設備。對一般人來說,這些電腦輸入設備,只要練習幾次便能順利上手、運用自如,但對於身心障礙者來說,如腦性麻痺、脊髓損傷和肌肉萎縮患者等等,都是另一種障礙,由於種種的輸入限制導致無法有效的使用電腦,甚至喪失了追求新知的權利;市面上已有許多輔具可幫助他們解決此類問題,如洞洞板、大型軌跡球等。然而,因脊髓損傷而全身癱瘓的患者,除非有親友協助,否則無自主行動的能力,更遑論使用電腦來滿足需求。
      本研究旨在為重障者研發一合適的溝通輔具,由於摩斯碼只需利用長短音,便能組合出各式各樣的字元,因此本研究以摩斯碼做為控制訊號,透過本研究發展之摩斯碼模糊自動辨視演算法(one-node fuzzy, adaptive fuzzy, sliding fuzzy, long-short separate fuzzy),讓使用者可以輕鬆的輸出想要的字元或命令,並降低輸入摩斯碼的困難度及限制。在輸入介面方面,本研究以脊髓損傷患者為主,為他們設計嘴控開關,考慮使用者舒適、衛生等問題,本研究以人類原始本能做考量,利用雙扁型奶嘴加上微動開關,組成嘴控開關,外型美觀、組裝方便,且易清洗,因此達到良好的衛生效果,同時也提升了使用者的打字速度。 除此之外,輸入介面亦考慮到其他個案的使用需求,如年齡、認知等使用因素的考量,未來,本研究亦將可依個案認知程度、受傷程度及部位的不同,而為他們量身訂做適合的輸入介面,如無接觸型的輸入控制介面,利用影像、超音波訊號等,接觸型的輸入控制介面,利用生理訊號(EEG/EMG)或其他類型的開關等。
      本研究發展的嘴控輸入系統,讓脊髓損傷(C1~C6)導致全身癱瘓,但頭部功能仍正常的患者,可利用嘴巴來輸入摩斯碼,操控電腦及一般家電用品,如電燈、電扇和電視等,除能達到便利生活外,更能夠重拾身為一個獨立個體的權利及尊嚴,且能與世界接軌、零時差的接收訊息,達到資訊無障礙的境界,更甚能開發身心障礙者之潛能,對社會貢獻一己之力,而非僅是社會的負擔與需協助的對象

     With the progress of information times, the computer is almost the basic equipment for every household. For the general people, using a keyboard and mouse to operate a computer to satisfy living needs is a simple and convenient thing. But for the handicapped, such as the cerebral palsy and muscular dystrophy their uncontrolled motions’ production and the status of muscle weakness result in the difficulties when using the computer’s common input media. However, there are still many assistive tools provided to help them, such as keyboard guard and big trace ball etc.. By contrast, the paralysis of the whole body from the severe spinal cord injuries cannot act on one's own without their relatives and friends’ assistance, not to mention operating a computer to satisfy needs.
     In some ways, the perception of Morse code as being something of an anachronism in today’s modern world is correct. Nevertheless, in the event of major catastrophes, when more advanced communication mechanisms may no longer function, Morse code remains peerless in terms of its ability to function with the simplest of radios, its enhanced interference penetration properties, and its reduced radio bandwidth requirements.
     This study presents a novel Morse Code-based Mouth-controlled Text input device (henceforth referred to simply as “McTin”) which has been designed specifically to meet the computer access requirements of individuals with severe spinal cord injuries, who possess the physical ability only to control their head movements. The difficulty most commonly encountered by users with physical disabilities is the requirement to conform to the standard long to short tone ratio of 3:1 prescribed in standard Morse code. Although many adaptive recognition algorithms have been proposed to overcome this particular problem, such as Adaptive Unstable-Speed Prediction (AUSP), Least Mean Square and Matching (LMS&M), Adaptive Variable-Ratio Threshold Prediction (AVRTP), and the back propagation neural network (BNP) etc.. Nevertheless, the LMS-related adaptive algorithms require intensive computations to infer the particular typing characteristics of an individual user, while the neural network approach requires the BPN to be adequately trained before it can be used successfully to recognize Morse code sequences. For this reason, we develop to create the new recognition algorithms (one-node fuzzy, adaptive fuzzy, sliding fuzzy, long-short separate fuzzy) to recognize the unstable Morse code sequences by fuzzy theory due to its easy in the process of calculation and the fuzzy sets are easily installed in the single-chip microprocessor as a real time recognition. Consequently, the proposed device McTin’s Morse code fuzzy recognition algorithm can be straightforward to implement on a single-chip microprocessor. McTin is physically small and consequently is very portable.
     McTin has been tested successfully by two individuals with severe spinal cord injuries, which have resulted in their inability to make any functional movements other than those involving their heads. Using McTin with nipple switch, both subjects can enjoy the full functionality of their computers now. They can able to type the documents, draw pictures, play PC games, send e-mails, and browse the Internet quickly and efficiently. Moreover, they can input Morse code by their mouth to operate the household appliances, such as lamps, fans, TV and so on. The nipple switch is so quite light, easy click, soft and bouncing, hygienic (almost no saliva) that can provide near 100% satisfaction for user. Although the current study presents a mouth-controlled switch, the form of the input device can be modified to suit the particular requirements of users with different degrees of physical disability.
     Through McTin these people can facilitate life, and the most important of all is that they can regain an independent person’ right and dignity.

    中文摘要...................................................................... I ABSTRACT .................................................................... II 誌謝..........................................................................IV LIST OF TABLES.............................................................. VII LIST OF FIGURES ............................................................VIII CHAPTER 1 INTRODUCTION ........................................................1 1.1 Introduction to Morse code.................................................3 1.2 Previous Morse code Recognition Algorithms ................................6 1.2.1 Stability Morse code sequence............................................6 1.2.2 Unstable Morse code sequence.............................................7 1.3 The Motivation and Goal ...................................................9 1.4 Contributions.............................................................11 CHAPTER 2 MORSE-CODE AUTOMATIC RECOGNITION ALGORITHM .........................13 2.1 One-node Fuzzy Recognition Algorithm......................................13 2.2 Adaptive Fuzzy Recognition Algorithm .....................................17 2.3 Sliding Fuzzy Recognition Algorithm ......................................20 2.4 Long-Short Separation Fuzzy Recognition Algorithm ........................23 2.5 Simulation Studies for Recognition Algorithm..............................26 2.5.1 Stability test of a fuzzy algorithm.....................................26 2.5.2 Comparison between fixed-ratio fuzzy recognition and variable-ratio fuzzy recognition ............................................................27 CHAPTER 3 MOUTH-CONTROLLED TEXT INPUT SYSTEM (MCTIN)..........................33 3.1 Special Mouth-Controlled Switch...........................................35 3.2 Morse-code Fuzzy Recognition Algorithm....................................37 3.3 Major Functions of McTin..................................................39 3.3.1 Keyboard-mode...........................................................39 3.3.2 Mouse-mode .............................................................40 3.3.3 Remote-control-mode ....................................................41 3.3.4 Practice-mode ..........................................................42 3.4 I/O Interface ............................................................46 3.5 Power ....................................................................47 3.6 McTin’s Hardware Design .................................................47 CHAPTER 4 RESULTS.............................................................49 4.1 Recognition Rates of Five Algorithms by Using Human Type Data.............49 4.2 A Full Structural Description of McTin....................................53 4.3 Case Studies .............................................................55 4.3.1 David’s case ..........................................................56 4.3.2 John’s case ...........................................................60 4.3.3 Remote control function for David and John..............................63 CHAPTER 5 DISCUSSION AND CONCLUSIONS .........................................64 References....................................................................69 Appendix McTin Morse code Table 1 & 2 & 3 ....................................72

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