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The Electroencephalogram (EEG) is a recording of the electrical potentials generated by brain activity on the scalp. It has been used for decades as a non-invasive tool both in fundamental brain research and in clinical diagnosis. But it is now widely used ...
The use of shared control techniques has a profound impact on the performance of a robotic assistant controlled by human brain signals. However, this shared control usually provides assistance to the user in a constant and identical manner each time. Creat ...
Electroencephalogram recordings during imagination of mental tasks allow for developing a new communication device for, e.g., motor disabled people. 32-channel EEG was recorded from 5 healthy subjects while performing, after instruction and in random order ...
There is a growing interest in the use of physiological signals for communication and operation of devices for the severely motor disabled as well as for healthy people. A few groups around the world have developed brain-computer interfaces (BCIs) that rel ...
Brains interfaced to machines, where thought is used to control and manipulate these machines. This is the vision examined in this chapter. First-generation brain-machine interfaces have already been developed, and technological developments must surely le ...
Brain-Machine Interfaces (BMIs) transform the brain activity of a human operator into executable commands that can be sent to a machine, usually a computer or robot, to perform intended tasks. In addition to current biomedical applications, available techn ...
The dream of controlling and guiding computer-based systems using human brain signals has slowly but steadily become a reality. The available technology allows real-time implementation of systems that measure neuronal activity, convert their signals, and t ...
