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.
Improving ar-ssvep recognition accuracy under high ambient brightness through iterative learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.HC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.