TY - GEN
T1 - Remote teleoperation of an unmanned aircraft with a brain-machine interface
T2 - 2010 IEEE International Conference on Robotics and Automation, ICRA 2010
AU - Akce, Abdullah
AU - Johnson, Miles
AU - Bretl, Timothy Wolfe
PY - 2010
Y1 - 2010
N2 - This paper presents an interface that allows a human pilot to remotely teleoperate an unmanned aircraft flying at a fixed altitude with input only from an electroen-cephalograph (EEG), which is used in this case to distinguish between left- and right-hand motor imagery in the brain. The approach is to construct an ordered symbolic language for smooth planar curves and to use these curves as desired paths for the aircraft. The underlying problem is then to design a communication protocol by which the pilot can, with vanishing error probability, specify a string in this language using a sequence of bits sent through a binary symmetric channel in the presence of noiseless feedback. Such a protocol is provided by the combination of arithmetic coding as a method of lossless data compression with posterior matching as a capacity-achieving channel code. Preliminary hardware experiments demonstrate the feasibility of this approach.
AB - This paper presents an interface that allows a human pilot to remotely teleoperate an unmanned aircraft flying at a fixed altitude with input only from an electroen-cephalograph (EEG), which is used in this case to distinguish between left- and right-hand motor imagery in the brain. The approach is to construct an ordered symbolic language for smooth planar curves and to use these curves as desired paths for the aircraft. The underlying problem is then to design a communication protocol by which the pilot can, with vanishing error probability, specify a string in this language using a sequence of bits sent through a binary symmetric channel in the presence of noiseless feedback. Such a protocol is provided by the combination of arithmetic coding as a method of lossless data compression with posterior matching as a capacity-achieving channel code. Preliminary hardware experiments demonstrate the feasibility of this approach.
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U2 - 10.1109/ROBOT.2010.5509671
DO - 10.1109/ROBOT.2010.5509671
M3 - Conference contribution
AN - SCOPUS:77955780910
SN - 9781424450381
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 5322
EP - 5327
BT - 2010 IEEE International Conference on Robotics and Automation, ICRA 2010
Y2 - 3 May 2010 through 7 May 2010
ER -