GazeBoard
Hands Free Automation
The problem GazeBoard solves
Accessibility: Enables computer use for people with motor disabilities, ALS, paralysis
Hands-free computing: No need for physical keyboard/mouse
Ergonomic relief: Reduces repetitive strain injuries
Temporary mobility issues: Works during injury recovery
Challenges we ran into
Technical:
Eye tracking accuracy: Getting precise iris detection
Blink detection: Distinguishing intentional vs natural blinks
Real-time performance: Maintaining smooth 60fps processing
Cross-platform compatibility: Making it work on all OS
User Experience:
Setup complexity: Making it easy for different users
Lighting sensitivity: Working in various lighting conditions
Camera quality: Handling different webcam resolutions
Calibration: Adapting to different face shapes/positions
Hardware:
Webcam positioning: Users not sitting correctly
Environmental factors: Background noise, reflections
System resources: Balancing accuracy vs performance