The goal of this control system is to guide an autonomous
robotic wheelchair using electrooculographic signal generated
by eye movements within the socket. Fig. 3 shows the prototype
implemented and a diagram of the control system. The
EOG signal is recorded by means of Ag-AgCl electrodes and an acquisition card, and this data is sent to an on-board computer
in which they are processed to calculate the eye gaze direction
or eye movements using the BiDiM-EOG model of the
eye. This then serves as the basis for drawing up the control
strategy for sending the wheelchair control commands.