Affective Aspects of Perceived Loss of Control and Potential Implications for Brain-Computer Interfaces

Most brain-computer interfaces (BCIs) focus on detecting single aspects of user states (e.g., motor imagery) in the electroencephalogram (EEG) in order to use these aspects as control input for external systems. This communication can be effective, but unaccounted mental processes can interfere with...

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الحاوية / القاعدة:	Frontiers in Human Neuroscience
المؤلفون الرئيسيون:	Sebastian Grissmann, Thorsten O. Zander, Josef Faller, Jonas Brönstrup, Augustin Kelava, Klaus Gramann, Peter Gerjets
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Frontiers Media S.A. 2017-07-01
الموضوعات:	brain-computer interface (BCI) electroencephalography (EEG) loss of control (LOC) frontal alpha asymmetry (FAA) independent component analysis (ICA)
الوصول للمادة أونلاين:	http://journal.frontiersin.org/article/10.3389/fnhum.2017.00370/full