Implementation of Human Gesture Recognition Using CNN

Year : 2024 | Volume :15 | Issue : 02 | Page : 24-37
By

A. A. Hakim,

A. D. Harale,

A. O. Mulani,

K. J. Karande,

  1. PG Student, SKN Sinhgad College of Engineering, Korti, Pandharpur,, Maharashtra, India
  2. Assistant Professor, SKN Sinhgad College of Engineering, Korti, Pandharpur,, Maharashtra, India
  3. Professor, SKN Sinhgad College of Engineering, Korti, Pandharpur,, Maharashtra, India
  4. Principal, SKN Sinhgad College of Engineering, Korti, Pandharpur,, Maharashtra, India

Abstract

A gesture popularity system based entirely on convolutional neural networks (CNNs). Preprocessing techniques include segmentation, polygonal approximation, contour construction, morphological filters, and resource characteristic extraction. Various convolutional neural networks are employed for training and testing, with results compared to existing architectures and protocols. All generated measurements and convergence graphs produced at any point during education are examined and contested in order to verify the reliability of the approach offered. Our project was created to record hand gestures as we entered and predict textual signal languages. It makes use of the Raspberry Pi module, which is among the best for editing photos and filming videos.

Keywords: Raspberry Pi, Hand Gesture, Feature Extraction, Python, Open CV

[This article belongs to Journal of Control & Instrumentation(joci)]

How to cite this article: A. A. Hakim, A. D. Harale, A. O. Mulani, K. J. Karande. Implementation of Human Gesture Recognition Using CNN. Journal of Control & Instrumentation. 2024; 15(02):24-37.
How to cite this URL: A. A. Hakim, A. D. Harale, A. O. Mulani, K. J. Karande. Implementation of Human Gesture Recognition Using CNN. Journal of Control & Instrumentation. 2024; 15(02):24-37. Available from: https://journals.stmjournals.com/joci/article=2024/view=161768

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Regular Issue Subscription Original Research
Volume 15
Issue 02
Received June 6, 2024
Accepted June 11, 2024
Published August 8, 2024
Views: 34

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