Adaptive Morse-coded single-switch communication system for the disabled

Luo, Ching‐Hsing; Shih, Ching-Hsiang

doi:10.1016/0020-7101(96)01163-4

Cited by 36 publications

(19 citation statements)

References 10 publications

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“…Using a larger learning rate and momentum with the decay technique and 10 epochs of learning cycle, the recognition rate advances to 93.2% or above. Table 4 shows a comparison among the three algorithms: AUSP [4], LMS&M [5] and BPN. In the comparison between LMS&M and BPN, the average recognition rate of BPN is 4.3% larger in Test One, 11.5% larger in Test Two and 12.6% larger in Test Three.…”

Section: Resultsmentioning

confidence: 99%

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Unstable Morse code recognition system with back propagation neural network for person with disabilities

Fuh

Luo

2001

Journal of Medical Engineering & Technology

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A Morse code auto-recognition system is limited by stable typing speed and stable typing ratio from long to short intervals. For an unstable Morse code typing pattern, the auto-recognition algorithms in the literature are not good enough for applications. This paper adopted a neural network to recognize unstable Morse codes. From an experiment on a teenager with cerebral palsy, the neural network has an average recognition rate up to 93.2%. The recognition rate from an amputee aged 40, who used a prosthesis for typing, it is 97.2% on average. When we compare this to 99.2% for the recognition rate from a skilled expert, the result is quite promising. The neural network has successfully overcome the difficulty of analysing a severely unstable Morse code time series. Since the human typing speed is quite slow in comparison to signal processing by the computer, it also makes it possible to use a neural network for real-time signal recognition.

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Section: Resultsmentioning

confidence: 99%

“…This requirement is dif cult to satisfy even for an ordinary person. In the report of Luo and Shih [4], which is a single switch Morse code automatic recognition system, they have successfully used an adaptive unstable-speed prediction (AUSP) algorithm to deal with this problem. This algorithm uses a xed ratio.…”

Section: Introductionmentioning

confidence: 99%

Unstable Morse code recognition system with back propagation neural network for person with disabilities

Fuh

Luo

2001

Journal of Medical Engineering & Technology

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“…A person whose hand coordination and dexterity is impaired by such afflictions as amyotrophic lateral sclerosis, multiple sclerosis, muscular dystrophy, or other severe handicaps cannot usually operate a computer due to the lack of a suitable adaptive communication device and/or computer input interface. Morse code as an adapted computer access method via special software programs, hardware devices, and switches has been shown to be valuable in assistive technology (AT), augmentative and alternative communication (AAC), rehabilitation, and education (Allen, 1996;King, 1999;King, 1990;Levine et al, 1986;Yang et al, 2003;Russel and Rego, 1998;Wyler and Ray, 1994;Church and Glennen, 1992;Nisbet, 1996;Luo and Shih, 1996;Shih and Luo, 1997;. Over 30 manufactures/ developers of Morse code input hardware or software for use in AAC and AT have been identified to date Downloaded by [University of Nebraska, Lincoln] at 01:04 28 December 2014 (Bower et al, 1998).…”

Section: Introductionmentioning

confidence: 98%

An improved Chinese phonetic Morse code key‐in system for severely disabled individuals

Yang

Yeh

Huang

et al. 2009

Journal of the Chinese Institute of Engineers

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Morse code has been shown to be a valuable tool in assistive technology, augmentative and alternative communication, and rehabilitation for people with various neuromuscular diseases, such as amyotrophic lateral sclerosis, multiple sclerosis, and muscular dystrophy. In this paper, we designed and developed an improved Chinese phonetic Morse code on-screen key-in system which uses Morse code as an adapted access communication tool for persons with disabilities who cannot use a traditional keyboard. The proposed system consists of three parts: an input control module, a recognition module, and a word processing module. The signal transmission is accomplished via radio frequency (RF), which can be transmitted over long distances without space limitations. The developed system uses an adaptive algorithm and support vector machines to recognize the input Morse code. Moreover, a direct mode for key-in is incorporated into the system, so that users no longer need to memorize Chinese phonetic Morse code. Manipulation of this system is easy and quick. Practical tests showed that efficiency could be improved by 33%, and typing speed improved by 25% compared to Yang's and Luo's methods from the literature, respectively.

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“…The second kind uses auxiliary keyboards that are also based on the Chinese input method of the operating system, such as a miniature keyboard, a wisdom keyboard, or a keyboard style mouse etc. [8]. The third kind is an input method in which handwritten or audio samples can be recognized.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Chinese Phonetic on-Screen Virtual Keyboard System

Yang

Chuang

Cheng

et al. 2006

Biomed. Eng. Appl. Basis Commun.

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Rapid technological development takes advantage of information and communication technology to assist the improvement of our living environment. Computer hardware and software functions not only support teaching or learning, but also provide vocational and recreational tools used in everyday life. In order to improve the quality of life for persons with disabilities in our knowledge-based society and to let them make contributions to the technology-based economic system in the future, they have to be able to fully participate in an information-learning environment. ABSTRACT In this paper, we designed and implemented a user-friendly Chinese phonetic on-screen virtual keyboard key-in system for persons with disabilities. The proposed system inputs the

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Adaptive Morse-coded single-switch communication system for the disabled

Cited by 36 publications

References 10 publications

Unstable Morse code recognition system with back propagation neural network for person with disabilities

Unstable Morse code recognition system with back propagation neural network for person with disabilities

An improved Chinese phonetic Morse code key‐in system for severely disabled individuals

An Intelligent Chinese Phonetic on-Screen Virtual Keyboard System

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