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Computer-Vision-Based-Eye-Tracking-Interface-with-Integrated-Emergency-and-Assistive-Alert-Module
A real-time assistive technology application that enables individuals with upper-limb disabilities to control a computer using only facial movements, eye gestures, and hand gestures through a standard webcam — no physical mouse or keyboard required.
About the Project
This project was developed as a Graduate Capstone Seminar Project at Governors State University (2026) to address the challenge of computer accessibility for people with physical disabilities. The system uses computer vision and machine learning to detect natural human movements and convert them into computer commands in real time.
Features
- Cursor Movement — Tracks nose position to move the mouse cursor smoothly across the screen
- Eye-Controlled Clicking — Detects sustained eye closure (2 seconds) to perform a mouse click, reducing accidental clicks
- Gesture-Based Start / Stop — Nod detection and head movement patterns to activate or deactivate the system
- Hand Gesture Control — Open palm and fist recognition for system interaction
- Quick Communication Buttons — Pre-set messages for hunger, pain, thirst, and other needs delivered through voice feedback and popup notifications
- Emergency Email Alerts — Sends an automated email alert with an attached Excel activity log to a caregiver
- Activity Logging — Every user action is stored with timestamps in
tracking_details.xlsx for caregiver monitoring
- Voice Feedback — Audio confirmation for every action using text-to-speech
Tech Stack
| Technology | Purpose |
|---|
| Python | Core programming language |
| OpenCV | Real-time video capture and image processing |
| MediaPipe | Facial landmark and hand tracking |
| PyAutoGUI | Mouse cursor movement and click automation |
| pyttsx3 | Text-to-speech voice feedback |
| Tkinter | Graphical user interface |
| pandas | Data handling for activity logs |
| openpyxl | Reading and writing Excel activity log files |
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