Phase Synchrony for Human Implicit Intent Differentiation

This paper focuses on discriminating user’s intent to real images based on phase synchrony in EEG. The goal is to differentiate user’s navigational intention and informational intention with real world scenario’s. In this paper, we first calculate Phase locking Value (PLV) between all electrode pairs in EEG collection montage. We identified several most significant pairs (MSP) to construct brain functional connectivity patterns in different bands, theta band (4~7Hz), alpha (8~13Hz), beta-1 (14~22Hz), beta-2 (23~30Hz). Based on the PLV variation in the selected MSP’s, the user intent can be classified. This paper demonstrates the potential of these identified brain electrode pairs in cognitive detection and task classification for future BCI applications.

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