Chairperson:  José M. Azorín. Co-chair: Eduardo Fernández.

Brain-Machine Interfaces (BMIs) are based on the use of brain signals for communication and operation of devices. Brain states can be detected and translated into actions such as selecting a letter from a virtual keyboard or moving a robot arm. BMIs are particularly relevant as an aid for paralyzed people, although they also open up new possibilities in human-machine interaction for able-bodied people. The main goal of this session is to discuss recent advances, challenges and open problems in this field.