Reliable EOG signalbased control approach with EE

Authors: T Zhang C Chen M Nakamura

Publish Date: 2009/12/06

Volume: 14, Issue: 2, Pages: 195-

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Abstract

This article proposes a reliable EOG signalbased control approach with EEG signal judgment In this method raw bioneurological signals including EOG and EEG are first extracted and segmented in the preprocessing stage The processed bioneurological signals will then be evaluated by calculating the feature parameters of these signals Since the feature parameters in bioneurological signals may be contaminated by various kinds of artifacts some artifacts of bioneurological signals can be indicated by means of the feature parameters of bioneurological signals Therefore the bioneurological 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 signalbased 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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