A Novel SSVEP Modulation and Decoding Method in Dynamic Display Interactive Scene

This work explores the application of Brain-Computer Interfaces (BCIs) in air-ground collaborative unmanned systems, focusing particularly on challenges in dynamic display scenarios. A novel SSVEP BCI paradigm based on drone video transmission information is proposed, addressing the signal-to-noise ratio issues of traditional Steady State Visual Evoked Potential (SSVEP) BCIs through style redesign and stimulus block modulation in complex backgrounds. Additionally, the Dynamic display of Interactive Scenes Decoding Network (DISDN) is developed, significantly improving decoding accuracy. Experimental results demonstrate that DISDN outperforms existing methods in dynamic interactive scenes, showing considerable practical application value by providing efficient and accurate teleoperation means for human operators.