Development of a Neuron Based Internet Game Driven by a Brain-Computer Interface System
ICHIT '06 Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02
Multimedia Tools and Applications
Steady-state VEP-based brain-computer interface control in an immersive 3D gaming environment
EURASIP Journal on Applied Signal Processing
Fully online multicommand brain-computer interface with visual neurofeedback using SSVEP paradigm
Computational Intelligence and Neuroscience - EEG/MEG Signal Processing
Continuous Control Paradigms for Direct Brain Interfaces
Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques
Tennis computer game with brain control using EEG signals
CGAMES '11 Proceedings of the 2011 16th International Conference on Computer Games
Robot Navigation Using Brain-Computer Interfaces
TRUSTCOM '12 Proceedings of the 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications
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This paper identifies the user's adaptation on brain-controlled systems and the ability to control brain-generated events in a closed neuro-feedback loop. The user experience is quantified for the further understanding of brain-computer interfacing. A working system has been developed based on off-the-shelf components for controlling a robot in both the real and virtual world. Using commercial brain-computer interfaces (BCIs) the overall cost, set up time and complexity can be reduced. The system is divided in two prototypes based on the headset type used. The first prototype is based on the Neurosky headset and it has been tested with 54 participants in a field study. The second prototype is based on the Emotiv headset including more sensors and accuracy, tested with 31 participants in a lab environment. Evaluation results indicate that robot navigation through commercial BCIs can be effective and natural both in the real and the virtual environment.