Evaluating a Semiautonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision

In this paper, we evaluate a semiautonomous brain-computer interface (BCI) for manipulation tasks. In such a system, the user controls a robotic arm through motor imagery commands. In traditional process-control BCI systems, the user has to provide those commands continuously in order to manipulate...

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Veröffentlicht in:	Computational intelligence and neuroscience Jg. 2019; H. 2019; S. 1 - 19
Hauptverfasser:	Ramírez-Moreno, Mauricio Adolfo, Gutiérrez, David
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Publishing Corporation 2019 Hindawi John Wiley & Sons, Inc
Schlagworte:	Algebra Algorithms Analysis Artificial Intelligence Artificial vision Biomechanical Phenomena Blindness Brain Brain - physiology Brain research Brain-Computer Interfaces Classification Computer applications Control systems Design Electroencephalography Electroencephalography - methods Evaluation Event-Related Potentials, P300 Fatigue Female Goals Human-computer interface Humans Imagery Imagination - physiology Implants Interfaces Inverse kinematics Kinematics Male Mental Fatigue - etiology Mental task performance Models, Theoretical Motor Activity - physiology Neurosciences Pick and place tasks Proof of Concept Study R&D Research & development Robot arms Robotics Robotics - methods Robots Signal Processing, Computer-Assisted Webcams Young Adult
ISSN:	1687-5265, 1687-5273, 1687-5273
Online-Zugang:	Volltext
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