Electroencephalography measures electrical activity in the brain via electrodes attached to the scalp, and up to now has been thought too insensitive to give sufficient information to be useful for the purpose. Electrical engineer and neuroscientist José Contreras-Vidal, leader of the research team at the University of Maryland in the US said they have been able to analyze EEG recordings and correlate them with readings from motion sensors attached to the subjects’ hands to create a mathematical model to decode the signals and convert one to the other. They were even able to create 3D maps of the hand movements of volunteers to determine what keys subjects were pressing on a keyboard.