Nireeksha Shetty, Priyanka Vallakathi, Apurva Tupe, Anita Shirude, India.
DOI : 01.0401/ijaict.2015.10.09
International Journal of Advanced Information and Communication Technology
Received On : November 20, 2018
Revised On : December 12, 2018
Accepted On : January 18, 2018
Published On : February 05, 2018
Volume 05, Issue 02
Pages : 807-813
Abstract
In the field of image processing it is usually important to identify the human gestures for general life applications. Gestures are a major form of human interactions. Gesture recognition has a vast scope in the field of research among various human computer interactions and it eases the communication between human and machines. It provides a non verbal way for humans to communicate with the machines and therefore it is full of innovative approach. This approach is used to identify the basic hand gestures. The main feature used in this project is to detect the image through web camera and to process it dynamically. This approach can further be used in real time system as well. The project describes the schemes of capturing the image using image detection algorithm and processing the image to recognize the gestures as well as to give the result. This project aims to control the media player as well as hardware (i.e. toy car) using the hand gestures.
Keywords
Sign language, Automatic Recognition, Natural Language Processing.
Cite this article
Nireeksha Shetty, Priyanka Vallakathi, Apurva Tupe, Ms. Anita Shirude, “Media Control and Hardware Control using Hand Gesture Recognition” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.807-813, February 05, 2018.
Copyright
© 2018 Nireeksha Shetty, Priyanka Vallakathi, Apurva Tupe, Anita Shirude. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.