Morse code recognition using support vector machines

Morse code is now being harnessed for use in rehabilitation applications of Augmentative-Alternative Communication and assistive technology, facilitating mobility, environmental control and adapted worksite access. In this paper, Morse code is selected as a communication adaptive device for disabled...

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Bibliographic Details
Published inIEEE EMBS Asian-Pacific Conference on Biomedical Engineering, 2003 pp. 220 - 222
Main Authors Cheng-Hong Yang, Li-Cheng Chin, Sheng-Chih Hsieh
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Adaptive algorithm
Atrophy
Birth disorders
Character recognition
Communication system control
Communications technology
Face recognition
Muscles
Statistical analysis
Support vector machines
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Summary:Morse code is now being harnessed for use in rehabilitation applications of Augmentative-Alternative Communication and assistive technology, facilitating mobility, environmental control and adapted worksite access. In this paper, Morse code is selected as a communication adaptive device for disabled persons who suffer from muscle atrophy, cerebral palsy or other severe handicaps. A stable typing rate is strictly required for Morse code to be effective as a communication tool. This restriction is a major hindrance. The proposed system uses support vector machines and the variable degree variable step size least-mean-square algorithm to achieve these objectives. Statistical analyses demonstrated that the proposed method elicited a recognition rate of as high as a 90%.
ISBN:0780379438
9780780379435
DOI:10.1109/APBME.2003.1302663