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Hand Gesture Recognition Using Deep Learning Techniques-Review

Authors

  • Anakin Rajeev

    Amal Jyothi College Of Engineering
    Author
  • Arya B

    Amal Jyothi College of Engineering,
    Author
  • Mekha Jose

    Amal Jyothi College Of Engineering
    Author
  • Archanamol Lalu

    Amal Jyothi College of Engineering,
    Author
  • Bhadra J

    Amal Jyothi College Of Engineering
    Author

Abstract

Hand gesture recognition is a crucial component of human-computer interaction (HCI), enabling natural and contactless interaction with digital systems. Various methods, including image processing, machine learning, and deep learning, have been explored to improve accuracy and real-time performance. This paper presents a comprehensive review of ten recent research papers on hand gesture recognition. A comparative analysis is conducted based on factors such as technology used, dataset, accuracy, and key findings. The study highlights advancements, existing challenges, and potential future developments in the field of hand gesture recognition.

Keywords:

Hand Gesture Recognition, Human-Computer Interaction (HCI), Machine Learning,, Deep Learning, Real-Time Performance, Image Processing
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Published

20-06-2025

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Articles

How to Cite

[1]
Anakin Rajeev, Arya B, Mekha Jose, Archanamol Lalu, and Bhadra J, “Hand Gesture Recognition Using Deep Learning Techniques-Review”, IJERA, vol. 5, no. 1, Jun. 2025, Accessed: Apr. 23, 2026. [Online]. Available: https://ijera.in/index.php/IJERA/article/view/310

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