• 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