MambaGaze: Bidirectional Mamba for Real-Time Cognitive Load from Eye Tracking
arXiv·low signal
Applies the Mamba architecture (selective state space model) with bidirectional processing and explicit missing data modeling to assess cognitive load from eye-gaze signals. Designed for real-time adaptive AI interfaces that respond to user cognitive state. Shows Mamba's efficiency advantages over transformers for streaming physiological data.