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By using advanced algorithms like Transfer Learning (TL) , the system maintains high recognition accuracy even when it has never seen the new user's brain patterns before. Impact on the Future of Technology

Future consumer VR/AR headsets could include "plug-and-play" neural controls. 123492

The system "learns" from existing data from previous users. By using advanced algorithms like Transfer Learning (TL)

High-speed communication (like "speller" systems) becomes faster and more reliable. 123492

Historically, SSVEP systems have faced a major hurdle: . Every person's brain signals are unique.

Brain-Computer Interfaces (BCIs) allow humans to control external devices—like computers or robotic limbs—using only brain signals. One of the most effective methods is the , which detects brain responses to flickering lights at specific frequencies. The Challenge: The "Calibration Wall"