AN EYE INPUT DEVICE FOR PERSONS WITH THE MOTOR NEURON DISEASES

Abstract

This study proposes an Eye input device by electro-oculogram (EOG) recognition for individuals with the motor neuron diseases (MNDs). In this study, the level of the unstable EOG signal is transformed into standard logic level signal by using the baseline tracing algorithm. The standard logic level signal is used as Morse code sequences which is recognized by the sliding fuzzy recognition algorithm embedded in a microprocessor. The result demonstrates that the unstable EOG signals can be successfully transformed into alphanumeric characters and the recognition rate is approximately 99% for the novice users. Accordingly, we designed an inexpensive user computer interface for helping the disabled persons to communicate with others, the user can input text with their eyes to access the computer and household appliances, such as lamps, fans and TV sets.