An augmented-reality based brain-computer interface for robot control

Lenhardt A, Ritter H. An augmented-reality based brain-computer interface for robot control. In: Wong K, Mendis BSU, Bouzerdoum A, eds. Neural information processing : Models and Applications. 17th International Conference, ICONIP 2010, Proceedings, Part II. Lecture notes in computer science. Vol 6444. Springer; 2010: 58-65.In this study we demonstrate how the combination of Augmented-Reality (AR) techniques and an asynchronous P300-based Brain-Computer Interface (BCI) can be used to control a robotic actuator by thought.We show results of an experimental study which required the users to move several objects placed on a desk by concentrating on a specific object. Competitive communication speed of up to 5.9 correct symbols per minute at a 100\textbackslash% accuracy level could be achieved for one subject using an asynchronous paradigm which enables the user to start communicating a command at an arbitrary time and thus mitigating the drawbacks of the standard cue based P300 protcols