SASLO adaptively optimizes AR-SSVEP stimulus layouts using scene luminance and ISD via a linear contextual bandit model, validated outdoors with 0.89 accuracy and 35.74 bits/min ITR.
Enhanced system robustness of asynchronous bci in augmented reality using steady-state motion visual evoked potential
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SASLO: A Scene-Aware Spatial Layout Optimization System for AR-SSVEP
SASLO adaptively optimizes AR-SSVEP stimulus layouts using scene luminance and ISD via a linear contextual bandit model, validated outdoors with 0.89 accuracy and 35.74 bits/min ITR.