DocumentCode
1657504
Title
EEG extraction management in autonomic neural network
Author
Onunka, Chiemela ; Bright, Glen ; Stopforth, Riaan
Author_Institution
Mech. Eng. Dept., Univ. of KwaZulu Natal, Durban, South Africa
fYear
2012
Firstpage
228
Lastpage
233
Abstract
The management of smart machines controlled by brainwaves has created the need for advancements in autonomic neural networks. The advancements made in using human cognition for robotic control has provided possibilities once imagined. The focus of the study is on the application of wireless of autonomic neural network in EEG signal extraction. The paper discussed the importance of autonomic neural network in brainwave extraction, transmission and management for robotic control. The prediction and extraction process are important component of the EEG autonomic neural network.
Keywords
control engineering computing; electroencephalography; medical signal processing; neural nets; robots; EEG extraction management; EEG signal extraction; autonomic neural network; brain wave extraction; brain wave management; brain wave transmission; electroencephalography; human cognition; robotic control; smart machine; Biological neural networks; Computer architecture; Electrodes; Electroencephalography; Feature extraction; Process control; Robots; Autonomic Neural Network; EEG Extraction and Prediction; EEG Management;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Machine Vision in Practice (M2VIP), 2012 19th International Conference
Conference_Location
Auckland
Print_ISBN
978-1-4673-1643-9
Type
conf
Filename
6484593
Link To Document