EOG single switch morse code translate input device for individuals with the motor neuron disease

This study purposes to provide EOG single switch Morse code translate input device for individuals with the Motor Neuron Disease, such as Amyotrophic Lateral Sclerosis. In this study, the unstable signal is transformed to standard logic level by EOG baseline tracing algorithm in the Microprocessor, and the outputs unstable Morse code sequences are recognized by the sliding fuzzy recognition algorithm. The results demonstrate the unstable Morse code sequences can recognize successful by the sliding fuzzy algorithm and translated into readable characters. The disabled can input Morse code with their eyes to operate the computer and household appliances, such as lamps, fans, TV. Therefore, this study provides a useful assistive tool for a user with the Motor Neuron Disease to communicate with the general public.