Revolutionary Cursor Control Systems: Enhancing Human Computer Interaction

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 16 | Issue : 02 | Page : –
    By

    M.K. Kirubakaran,

  • Mariam Fathima A.,

  • Mounica V.,

  1. Associate Professor, Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, Chennai, Tamil Nadu, India
  2. Student, Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, Chennai, Tamil Nadu, India
  3. Student, Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, Chennai, Tamil Nadu, India

Abstract

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This project delves into leveraging Artificial Intelligence within virtual mouse systems to elevate Human- Computer Interaction. The main objective is to improve user experience, increase efficiency, and introduce new ways of interaction. Employing AI techniques such as computer vision, gesture recognition and speech recognition, the virtual mouse system adeptly tracks hand movements, interprets voice commands, recognizes gestures, and processes user inputs for seamless interactions. Tailoring
features for design, gaming, accessibility, and productivity domains, the project emphasizes inclusivity, particularly for individuals with disabilities, offering alternative input methods and gesture controls. The precision of the virtual mouse system ensures natural and intuitive interactions, while voice command integration enhances communication with electronic devices. With a focus on adaptability and inclusivity, the initiative seeks to revolutionize HCI, envisioning a future where technological
advancements cater to diverse user needs. The ultimate aim is to provide a more natural, efficient, and personalized interface for controlling digital devices, fostering improved user experience and accessibility across various applications and environments.

Keywords: Artificial Intelligence, virtual mouse systems, human-computer interaction, user experience, gesture recognition, gesture-based control.

[This article belongs to Journal of Computer Technology & Applications ]

How to cite this article:
M.K. Kirubakaran, Mariam Fathima A., Mounica V.. Revolutionary Cursor Control Systems: Enhancing Human Computer Interaction. Journal of Computer Technology & Applications. 2025; 16(02):-.
How to cite this URL:
M.K. Kirubakaran, Mariam Fathima A., Mounica V.. Revolutionary Cursor Control Systems: Enhancing Human Computer Interaction. Journal of Computer Technology & Applications. 2025; 16(02):-. Available from: https://journals.stmjournals.com/jocta/article=2025/view=0



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References

  1. Prasad GD. Virtual mouse implementation using OpenCV. JETIR. 2020;7(6):5.
  2. Shibly KH, Dey SK, Islam MA, Showrav SI. Design and development of hand gesture based virtual mouse. In2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT) 2019 May 3 (pp. 1-5). IEEE.
  3. Reddy VV, Dhyanchand T, Krishna GV, Maheshwaram S. Virtual mouse control using colored finger tips and hand gesture recognition. In2020 IEEE-HYDCON 2020 Sep 11 (pp. 1-5). IEEE.
  4. Christina M, Daniel A, Bhatkar MK, Lopes OP. Virtual Mouse Using Object Tracing. Proceedings of ICCES-2020. 2020.
  5. Jain N, Jadhav S. AI Virtual mouse using OpenCV python. JETIR. 2022;9(7):5.
  6. Joshi H, Litoriya R, Mangal D. Design of a Virtual Mouse Using Gesture Recognition and Machine Learning. Research Square, 2022; https://www.researchsquare.com/article/rs-1616375/v2
  7. Rajendra P, Kaushik P, Gautam A, Saha S. AI-Based Virtual Mouse Control Using Deep Learning Techniques. InIEEE 2nd International Conference on Sustainable Energy Electronics and Computing Systems (SECS) 2020 (pp. 647-652).
  8. Grosche S, Koller M, Seiler J, Kaup A. Dynamic image sampling using a novel variance based probability mass function. IEEE Transactions on Computational Imaging. 2020 Oct 14;6:1440-50.
  9. Basha SJ, Sowmya LS, Rumiya S, Afroz S. Virtual Mouse with hand gestures using AI. In2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) 2023 Jul 6 (pp. 1432-1438). IEEE.
  10. Singh A, Sagar S, Bhatt S, Upadhyay T. Real Time Virtual Mouse System Using Hand Tracking Module Based on Artificial Intelligence. In2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI) 2023 Nov 23 (pp. 36-39). IEEE..
  11. Arslan M, Bush IJ, Abiyev RH. Head movement mouse control using convolutional neural network for people with disabilities. In13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing—ICAFS-2018 13 2019 (pp. 239-248). Springer International Publishing.
Regular Issue Subscription Review Article
Volume 16
Issue 02
Received 07/05/2024
Accepted 28/03/2025
Published 15/04/2025
Publication Time 343 Days
67

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