Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
Controlling a Wheelchair Indoors Using Thought
IEEE Intelligent Systems
Keyboard before Head Tracking Depresses User Success in Remote Camera Control
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
Object recognition and full pose registration from a single image for robotic manipulation
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
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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% 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.