Volitional and Real-Time Control Cursor Based on Eye Movement Decoding Using a Linear Decoding Model
This paper presents the Electrooculography (EOG) on human computer interface (HCI) is a novel measurement technique for eye tracking and the recognition for patients Eye movement and blood circulation in the nerves are measured by EOG signal. The EOG signal can be acquired by placing electrodes in the forehead and acquired data is analyzed by using wavelet transform and fuzzy logic. The transformed signal can be decomposed and de-noised. Fuzzy logic is used to separate the clustered signal from false signal. The analyzed signal can be given on the MSP430 controller which is implemented and used to control the electrical devices.