Gesture-Based Cursor Control: A Comprehensive Review of Techniques and Applications

Year : 2025 | Volume : 03 | Issue : 01 | Page : 9 13
    By

    Twinkle Shukla,

  • Pradip Mahajan,

  • Ayush Mandlik,

  • Pratik Divekar,

  • Suraj Burange,

  1. Professor, Department of Information Technology, Parvatibai Genba. Moze college of engineering, Wagholi, Pune, Maharashtra, India
  2. Student, Department of Information Technology, Parvatibai Genba. Moze college of engineering, Wagholi, Pune, Maharashtra, India
  3. Student, Department of Information Technology, Parvatibai Genba. Moze college of engineering, Wagholi, Pune, Maharashtra, India
  4. Student, Department of Information Technology, Parvatibai Genba. Moze college of engineering, Wagholi, Pune, Maharashtra, India
  5. Student, Department of Information Technology, Parvatibai Genba. Moze college of engineering, Wagholi, Pune, Maharashtra, India

Abstract

Although hand gesture detection for man-machine interfaces has advanced recently, many systems still have issues with background and lighting. We have developed a rapid motion history image-based system to categorize dynamic hand motions and a face detection method to adaptively detect skin color. For the up, down, left-, and right-hand gesture classifiers, four sets of haar-like directional patterns were trained. To operate different household appliances, six hand gestures were defined, including fist and waving motions. To evaluate these gestures’ potential for engagement, five people made 250 hand movements at various distances from a webcam.  According to experimental results, the processing time is 3.81 MS per frame and the average accuracy is 94.1%. These proved that the suggested system was feasible. Traditional input devices like keyboards and mouse are being supplemented or replaced by cutting-edge alternatives that offer a more intuitive user experience in the rapidly developing field of human-computer interaction (HCI). Using hand gestures to operate a cursor is a novel technology that uses people’s natural movements to engage with digital interfaces. The concepts, tools, and uses of this revolutionary invention are explored in depth in this article.

Keywords: Hand gesture recognition, adaptive skin color model, motion detection, motion history image, human-computer interaction (HCI)

[This article belongs to International Journal of Electrical and Communication Engineering Technology ]

How to cite this article:
Twinkle Shukla, Pradip Mahajan, Ayush Mandlik, Pratik Divekar, Suraj Burange. Gesture-Based Cursor Control: A Comprehensive Review of Techniques and Applications. International Journal of Electrical and Communication Engineering Technology. 2025; 03(01):9-13.
How to cite this URL:
Twinkle Shukla, Pradip Mahajan, Ayush Mandlik, Pratik Divekar, Suraj Burange. Gesture-Based Cursor Control: A Comprehensive Review of Techniques and Applications. International Journal of Electrical and Communication Engineering Technology. 2025; 03(01):9-13. Available from: https://journals.stmjournals.com/ijecet/article=2025/view=202548


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Regular Issue Subscription Review Article
Volume 03
Issue 01
Received 06/01/2025
Accepted 13/01/2025
Published 05/03/2025
Publication Time 58 Days
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