Multi Channel EOG Signal Recognition for an Embedded Eye Movement Tracking Device

In this paper we describe a low cost embedded system for eye movement tracking that supports disabled persons with basic interaction with Bluetooth enabled electronic devices. The method is based on tracking the EOG potential. The device has a built-in 32-bit RISC processor that performs acquisition of multichannel differential EOG signals and signal recognition. Signal recognition is based on cross correlation principle where a simplified triangulated linear model for eye movement is used as a reference signal. The eye movement recognition is more or less user independent, but it takes some time and practice to become familiar with the system for efficient use. The embedded eye movement tracking device communicates with other devices via personal network, which is based on Bluetooth wireless technology. The communication protocol at the application level has been simplified in order to gain plain integration with other devices.