Classification of hand movement imagery tasks for brain machine interface using feed-forward network

In this paper, a simple Brain Machine Interface (BMI) system that translates a change of rhythm from brain signal while performing a simulation of hand movement mentally into a real activity movement command is proposed. Four different imaginary tasks are used in the analysis process. A non-stimulus-based BCI approach is used to acquire the brain signal from ten different subjects using 19 channel EEG electrodes. Five spectral band features from...