A fantastic new study by LeFleur et al. (2013) used a non-invasive brain computer interface to control the flight of a robotic quadcopter. Five subjects were trained to modulate their sensorimotor rhythms using a motor imagery paradigm while wearing a 64 channel EEG electrocap. The C3 and C4 electrodes located over left and right sensorimotor cortices were selected. EEG activity in a 12 Hz frequency bin was measured and quantified at those sites.
First, the participants trained by imagining left or right hand movements to control a 2D cursor. A second task involved imagining squeezing or curling both hands to move the cursor up and down. These two tasks were combined together for a third phase. When target accuracy of 70% or more was achieved in phase three, they moved on to helicopter training.
Supplementary data video 5. (1.47 MB, WMV) Subject 5 immediately acquires a ring after take-off, demonstrating fast acclimation to the BCI system when beginning a new run.
The paper was published in the open access Journal of Neural Engineering.
Lafleur K, Cassady K, Doud A, Shades K, Rogin E, He B. Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain-computer interface. J Neural Eng. 2013 Jun 4;10(4):046003. doi:10.1088/1741-2560/10/4/046003
Published on: Jun 6, 2013 @ 13:14