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Advancement of BCI in Robotic Wheelchair
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| Author:
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R.DEEPIKA , S.RADHA RAMMOHAN, THIRUMURUGAN SHANMUGAM, S.V.TRESA SANGEETHA
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| Abstract:
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There are various signals utilized for brain system using electrodes, signal characteristics extraction,
Electrocephalography (EEG), Noise reduction and classification of signal whereas Brain Computer Interface (BCI)
is beneficial for controlling the robotic arms. A steady flow of brain signal can be accomplished using hardware
namely Emotive EPOC. Therefore, this investigation gets managed by artifacts for brain signal to identify the
prompt of noise present in the output of signal classification. Thus the robust controlling has been obtained with
EEG sensor as a prototype which utilized for monitoring the function of brain and signal is tend to the Arduino
controller.
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| Keyword:
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EEG sensor, Artifacts, ATMega32, robotic wheelchair, Arduino
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| EOI:
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| DOI:
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| Download:
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Request For Article
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