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Vocal Gaze Mouse Controller

Authors

Shivam Anand

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

Yamini G

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

Samarth Srivastava

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

Siddharth Kumar

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

Article Information

DOI: 10.51583/IJLTEMAS.2025.140600088

Subject Category: AIML

Volume/Issue: 14/6 | Page No: 808-814

Publication Timeline

Submitted: 2025-07-20

Published: 2025-07-19

Abstract

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.

Keywords

Eye Gaze Tracking, Blink Detection, Voice Commands, Human-Computer Interaction (HCI), Computer Vision, Accessibility, Python, Py Auto GUI, Speech Recognition, Real-Time Processing

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