
Eyes in Motion
A low-cost gaze interface for assistive mobility.
I built a real-time eye-tracking system that uses an ordinary webcam to translate gaze direction into movement commands. The project grew from a personal interest in preserving independence for people whose mobility is limited.
- Classified six eye states: left, right, up, down, center, and closed
- Combined OpenCV, facial landmarks, image processing, and blink-aware controls
- Tested the interface with a JetBot as a small-scale mobility platform
- Earned 3rd Place in the undergraduate ACM Student Research Competition at Tapia 2025





