Identification of Brain Electrical Activity Related to Head Yaw Rotations

Automatizing the identification of human brain stimuli during head movements could lead towards a significant step forward for human computer interaction (HCI), with important applications for severely impaired people and for robotics. In this paper, a neural network-based identification technique i...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 21; H. 10; S. 3345
Hauptverfasser:	Zero, Enrico, Bersani, Chiara, Sacile, Roberto
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 11.05.2021 MDPI
Schlagworte:	Algorithms brain electrical activity Brain research brain-computer interface Classification Discriminant analysis Electrodes Electroencephalography Experiments feedforward neural networks Lamps Neural networks Support vector machines system identification Wheelchairs
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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