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 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%.