A Hybrid BCI based on SSVEP and EMG of temporalis for Home control

In this study an asynchronous hybrid brain computer interface based on four-channel steady state visual evoked potential (SSVEP) and single-channel electromyogram (EMG) of temporalis was proposed for the control of a virtual home system integrating three devices including a nursing-bed, a television and a telephone. Three clench patterns were introduced to implement SWITCH, RETURN and CONFIRMATION function of the system. Canonical correlation analysis and threshold method were applied to classify EEG and EMG data respectively. In the verification experiments of six participants, there was no occurrence of operation error, which demonstrated that the proposed method of combining EEG and EMG can effectively reduce false operations and enhance the control safety.

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