Home|Journals|Articles by Year|Audio Abstracts
 

Research Article

EEO. 2021; 20(2): 2462-2467


Application Of Convolution Neural Network To Recognize Hand Gestures

Jyoti Agarwal, Piyush Agarwal, Aditya Pai H, Pranav Nautiyal.




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.

Key words: Hand, Gesture, Convolution Neural Network, Sign Language, Open CV






Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Refer & Earn
JournalList
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.