Hands-Free Computer Interface: Eye Tracking & Voice Control

Short summary

Developer builds a hands-free computer interface using MediaPipe for eye tracking and speech recognition for voice commands, with complete code examples. System controls cursor via head gestures, clicks via eye blinks, and processes voice commands using consumer hardware. Solves accessibility problems for motor-impaired users while offering ergonomic and productivity benefits for typical users.

• •Eye tracking via MediaPipe detects 468 facial landmarks in real-time to map head movements to cursor position
• •Voice module uses speech recognition for command parsing (open app, switch window, dictation)
• •Complete Python/Flask POC with working implementation, calibration, smoothing, and problem-solution explanations

Generated with AI, which can make mistakes.