Morse code recognition system with adaptive fuzzy algorithm for the disabled

Chung Min Wu, Ching Hsing Luo, Shu Wen Lin, Shih Chung Chen, Ming Che Hsieh, Chun Tang Chao, Cheng-Chi Tai

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)205-210
Number of pages6
JournalJournal of Medical and Biological Engineering
Volume22
Issue number4
Publication statusPublished - 2002 Dec 1

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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  • Cite this

    Wu, C. M., Luo, C. H., Lin, S. W., Chen, S. C., Hsieh, M. C., Chao, C. T., & Tai, C-C. (2002). Morse code recognition system with adaptive fuzzy algorithm for the disabled. Journal of Medical and Biological Engineering, 22(4), 205-210.