Morse code recognition system with adaptive fuzzy algorithm for the disabled

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.