An Efficient Vision-Based Algorithm for Hand Pose Estimation and Cursor Control

Year : 2026 | Volume : 13 | Issue : 01 | Page : 24 35
    By

    Dinesh Swami,

  • Somineni Rohith Chowdary,

  • Thumati karthik,

  • R. Hanish Kumar,

  • N. Dharmendra,

  1. Student, Department of computer science & Engineering Parul Institute of Engineering & Technology Vadodara, Gujarat, India
  2. Student, Department of computer science & Engineering Parul Institute of Engineering & Technology Vadodara, Gujarat, India
  3. Student, Department of computer science & Engineering Parul Institute of Engineering & Technology Vadodara, Gujarat, India
  4. Student, Department of computer science & Engineering Parul Institute of Engineering & Technology Vadodara, Gujarat, India
  5. Student, Department of computer science & Engineering Parul Institute of Engineering & Technology Vadodara, Gujarat, India

Abstract

Conventional input devices like the keyboard and mouse are no longer necessary because gestures are becoming more popular as the most natural way to interact with computers. This project has demonstrated a novel real-time system that lets users control their computer cursors using simple hand gestures. The system facilitates an easy operation for us in terms of the use of a cursor by using techniques and hand mark detections. The software maps the coordinate points of the detected finger tips according to their positions by using mapping techniques. Smooth, jitter-free cursor movement. Increasing precision along with user comfort and confidence while using the system. To the overall, this is a light solutions solution offering a feasible and effective alternative to the standard pointing devices with no necessary investment in the costly or specialized hardware. It is a system that picks and reacts to simple movement of hands to the computers (desktops and the laptops) on which the standard webcams are fitted. It also allows one to perform with ease the activities of the cursor-moving, clicking, double- clicking and dragging and scrolling-that are a part of the daily work on the computer. It can be controlled by the fact that it does not require the touch of any object, hence fulfilling the needs of people who cannot move freely in several places like hospitals and educational institutions, this technology can also be applied to understand the gesture computer. Interaction The system can also be user-specific by the system to be built in a modular way; thus, the piping will work under different settings and under different lighting conditions. This system uses a coordinate normalization, dynamic thresholding and preprocessing to attain constant results in the detecting various backgrounds and a large assortment of camera relative positions. The time filtering will be inserted in the decision logic since cursor action, like clicking and dragging, could only occur when the voluntary gesture of the user occurs. This lowers the fatigue or weariness and therefore the interface is reliable to be used in the long-term. The reality also evades the redundant processing overheads and provide fewer steps to compute with the aim of dwelling down on real time performance. Because all the modules of the pipeline facilitate the ease of experience (i. e., frame acquisition), landmark identification, gesture classification and cursor mapping, the system may respond to the input, and it may also depict the fact that the hand control via the camera is not a science-fiction fiction. Furthermore, it is also scalable, and there is no need to find large-scale size of the architecture complicated since it is impossible to add more gestures or multi-hand messages. Gesture interfaces are also coming into existence, and a further developed interface architecture can be developed on the system: virtual drawing and 3D manipulation or implementation in terms of an augmented (or virtual) reality architecture. In addition to the general applications of the technology, there would be other specific applications, such as touchless public kiosks, interactive learning devices or access devices that would be used by individuals with motor impairment. Overall, the nascent science of the natural-user interfaces will be advanced with the assistance of the project, through a convenient, precise, and economical gesture-based cursor system. It shows that with careful algorithms and heavy-load processing applications, a motion of the hands can be projected down to the acceptable and understandable computer directions and this will allow a far more interactive and involving on-screen interaction experiences.

Keywords: Gesture-based interaction, hand gesture recognition, computer vision, real- time cursor control, human-computer interaction.

[This article belongs to Research & Reviews: Discrete Mathematical Structures ]

How to cite this article:
Dinesh Swami, Somineni Rohith Chowdary, Thumati karthik, R. Hanish Kumar, N. Dharmendra. An Efficient Vision-Based Algorithm for Hand Pose Estimation and Cursor Control. Research & Reviews: Discrete Mathematical Structures. 2026; 13(01):24-35.
How to cite this URL:
Dinesh Swami, Somineni Rohith Chowdary, Thumati karthik, R. Hanish Kumar, N. Dharmendra. An Efficient Vision-Based Algorithm for Hand Pose Estimation and Cursor Control. Research & Reviews: Discrete Mathematical Structures. 2026; 13(01):24-35. Available from: https://journals.stmjournals.com/rrdms/article=2026/view=238981


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Regular Issue Subscription Review Article
Volume 13
Issue 01
Received 09/02/2026
Accepted 26/02/2026
Published 10/03/2026
Publication Time 29 Days
33

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