HAND GESTURE RECOGNITION USING MACHINE LEARNING

Authors

  • Mr. Pratik Annaramchandra Yadav Department of E&TC, DBATU University / Ashokrao Mane Group of Institutions, Wathar, India
  • Mr. R. S. Patil Assistant Professor Department of E&TC, DBATU University / Ashokrao Mane Group of Institutions, Wathar, India

Abstract

In order to offer new possibilities to interact with machine and to design more natural and more intuitive interactions with computing machines, this research aims at the automatic interpretation of gestures based on computer vision. One such technique can be used for detecting and understanding various human gestures as it would make the human-machine communication effective. This could make the conventional input devices like touchscreens, mouse pad, and keyboards redundant. In this project we will design a hand gesture recognition system which will perform defined task. Here we are using classroom as an application. Instead of classroom any other applications can be also used.

Downloads

Published

2023-12-22

Issue

Vol. 10 No. 12 (2023): IJIERT

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Under the Creative Commons Attribution- 4.0 International License (CC BY-4.0 DEED).

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

How to Cite

Mr. Pratik Annaramchandra Yadav, & Mr. R. S. Patil. (2023). HAND GESTURE RECOGNITION USING MACHINE LEARNING. International Journal of Innovations in Engineering Research and Technology, 10(12), 180-185. https://repo.ijiert.org/index.php/ijiert/article/view/3804