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Vocal Gaze Mouse Controller

Author

Listed:
  • Shivam Anand

    (Dayananda Sagar Academy of Technology & Management Bengaluru, India)

  • Yamini G

    (Dayananda Sagar Academy of Technology & Management Bengaluru, India)

  • Samarth Srivastava

    (Dayananda Sagar Academy of Technology & Management Bengaluru, India)

  • Siddharth Kumar

    (Dayananda Sagar Academy of Technology & Management Bengaluru, India)

Abstract

This paper presents the design and implementation of a multimodal, real-time Human-Computer Interaction (HCI) system called the Vocal Gaze Mouse Controller. The system integrates eye-gaze tracking, blink detection, and voice recognition to control mouse functions, providing a fully hands-free interaction mechanism. Designed especially for individuals with physical disabilities, the system enables cursor navigation and command execution using webcam-based eye tracking and microphone-enabled speech processing. We use Dlib for facial landmark detection, OpenCV for image processing, PyAutoGUI for mouse control, and Python’s Speech Recognition library for interpreting voice inputs. This solution is non-invasive, affordable, and highly accurate, making it suitable for real-world accessibility applications. Results from experimental evaluations show high accuracy in blink and voice recognition, as well as low latency and user satisfaction.

Suggested Citation

  • Shivam Anand & Yamini G & Samarth Srivastava & Siddharth Kumar, 2025. "Vocal Gaze Mouse Controller," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 14(6), pages 808-814, June.
    • Handle: RePEc:bjb:journl:v:14:y:2025:i:6:p:808-814
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