The objective of this project is to develop a VR navigation system controlled using brain-computer interface (BCI) signals. The system enables users to move and interact within virtual environments using EEG-based attention and signal detection technologies.
Research brain-computer interface fundamentals and EEG signal processing.
Integrate low-cost EEG hardware with system APIs.
Implement signal filtering and noise reduction algorithms.
Develop machine learning models for intent classification.
Design VR environments for navigation testing.
Map classified brain signals to VR movement controls.
Implement calibration module for user-specific tuning.
Optimize response time and accuracy of signal interpretation.
Conduct experimental testing with multiple users.
Analyze signal consistency and error rates.
Prepare technical documentation including neural signal workflow
