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Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking
2014
Computers in Biology and Medicine
We propose a wearable hybrid interface where eye movements and mental concentration directly influence the control of a quadcopter in three-dimensional space. This noninvasive and low-cost interface addresses limitations of previous work by supporting users to complete their complicated tasks in a constrained environment in which only visual feedback is provided. The combination of the two inputs augments the number of control commands to enable the flying robot to travel in eight different
doi:10.1016/j.compbiomed.2014.04.020
pmid:24880998
fatcat:tvl5tlsyefg5ffbdbafthpw5za