Overview
This thesis project develops an assistive technology solution that enables people with mobility impairments to control computer cursors using eye movements, captured through custom-designed wearable glasses.
Key Features
- Real-time eye movement tracking
- Precise cursor control mapping
- Calibration system for individual users
- Low-latency processing
- User-friendly interface
Technical Details
The system uses computer vision and machine learning techniques to track eye movements and translate them into cursor coordinates. Custom algorithms handle calibration and movement smoothing.