Human-machine interfaces (HMI) represent a new communication channel between people and objects in their environment that does not depend on the usual communication channels.
Through the use of open hardware and software, this UDC-CITIC group has developed a complete HMI system. On the one hand, an OpenBCI plate has been used to capture Electrooculography (EOG) and Electroencephalography (EEG) signals. On the other hand, a totally configurable GUI has been developed for the presentation of stimuli using two paradigms: the elements to be controlled are intensified one by one, or all the elements of the same row / column are continuously intensified at the same time. In this way, the user can adapt the system to his particular situation.
This system is very useful for people with severe motor difficulties or those who, while maintaining some muscle control, fatigue easily.
Team members: Francisco Laport, Paula M. Castro, Francisco J. Vázquez-Araujo and Adriana Dapena.