Application Of Convolution Neural Network To Recognize Hand Gestures

Authors

  • Jyoti Agarwal
  • Piyush Agarwal
  • Aditya Pai H
  • Pranav Nautiyal

Keywords:

Hand, Gesture, Convolution Neural Network, Sign Language, Open CV

Abstract

Hand Gesture Recognition has many applications such in Human Computer Interaction applications. It can be used for communication as sign language among specially enabled people of the society as well as different computer applications can be created to operate
various devices like phones, games etc. It is the responsibility of researchers to think in this direction and provide solutions so that this communication with devices by recognizing hand gestures can become effective and easier. In modern technical society, hand gestures-based computer applications are developed which motivates researchers to work on different techniques to recognize hand gestures. This work is also an attempt in this direction where Convolution Neural Network (CNN) is applied to recognize hand gestures. For this, an application is developed which is working on Kaggle data set of hand gesture images

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Published

2023-12-15

How to Cite

Jyoti Agarwal, Piyush Agarwal, Aditya Pai H, & Pranav Nautiyal. (2023). Application Of Convolution Neural Network To Recognize Hand Gestures. Elementary Education Online, 20(2), 2462–2467. Retrieved from https://ilkogretim-online.org/index.php/pub/article/view/2013

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Section

Articles