Reliable EOG signal-based control approach with EEG signal judgment |
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Authors: | T Zhang C Chen M Nakamura |
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Affiliation: | (1) Department of Electrical and Electronics Engineering, University of Inonu, Malatya, Turkey;(2) Department of Electrical and Electronics Engineering, University of Batman, Batman, Turkey;(3) Department of Electrical and Electronics Engineering, University of Dicle, Diyarbakir, Turkey; |
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Abstract: | This article proposes a reliable EOG signal-based control approach with EEG signal judgment. In this method, raw bio-neurological
signals (including EOG and EEG) are first extracted and segmented in the pre-processing stage. The processed bio-neurological
signals will then be evaluated by calculating the feature parameters of these signals. Since the feature parameters in bio-neurological
signals may be contaminated by various kinds of artifacts, some artifacts of bio-neurological signals can be indicated by
means of the feature parameters of bio-neurological signals. Therefore, the bio-neurological signals contaminated with artifacts
cannot be adopted to generate control signals or to judge the correctness of control signals. In the proposed method, in order
to generate a reliable control signal based on the EOG signal, the EEG signal is adopted to assist in making a judgment about
the validity of the EOG signal. With the proposed method, an EOG signal-based control software platform has been implemented.
By using this platform, simulation work has been carried out to control the behavior of a robot. The simulation results verified
the effectiveness of the proposed method. |
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Keywords: | |
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