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Journal of Information Science and Engineering, Vol. 23 No. 5, pp. 1623-1637 (September 2007)

Adaptive Mandarin Morse Code Recognition using Fuzzy Support Vector Machines and a Variable Degree Variable Step Size Least-Mean-Square Algorithm

Cheng-Yong Yang1, Hsiu-Chen Huang2, Li-Yeh Chuang3 and Cheng-Huei Yang4
1Department of Electronic Engineering
National Kaohsiung University of Applied Sciences
Kaohsiung, 807 Taiwan
2Department of Physical Medicine and Rehabilitation
Chiayi Christian Hospital
Chiayi, 539 Taiwan
3Department of Chemical Engineering
I-Shou University
Kaohsiung, 840 Taiwan
4Department of Electronic Communication Engineering
National Kaohsiung Marine University
Kaohsiung, 811 Taiwan

Morse code has been shown to be valuable in assistive technology, augmentative and alternative communication, rehabilitation, and education. In this paper, Morse code is selected as a communication adaptive device for persons with various neuromuscular diseases such as amyotrophic lateral sclerosis, multiple sclerosis, and muscular dystrophy. Maintaining a stable typing rate presents a major obstacle to being effective as a communication tool. Therefore, an adaptive automatic recognition method with a high recognition rate is needed. The proposed system uses both fuzzy support vector machines and the variable-degree variable-step-size least-mean-square algorithm. Statistical analyses demonstrated that the proposed method elicited a higher recognition rate than other algorithms in the literature.

Keywords: Morse code, adaptive tool, least-mean-square algorithm, support vector machines, fuzzy theory

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Received August 10, 2005; revised June 5 & August 10 & September 21, 2006; accepted September 27, 2006.
Communicated by Pau-Choo Chung.