Hand Gesture Recognition using AI&ML
Swetha Mukka, Dr. K. Dasaradha Ramaiah
Artificial Intelligence, Recognition, Gesticulation, Image Processing
In India, a significant population of approximately 855,200 individuals are paralyzed and face significant challenges in their daily routines. These individuals represent a vulnerable minority within the disabled community and often lack sufficient support services. For these people, their ability to navigate their living spaces and communicate with others is crucial for their overall well-being. Simple activities can become very difficult without assistance or communication from others. To address these challenges, a machine learning project has been developed that focuses on recognizing hand gestures. The project uses the convex hull algorithm to create a cost-effective gesture recognition framework that only requires the use of a bare hand. Once the gesture is recognized, it can be communicated through various channels such as audio, email, and personal message using the API integration framework. This low-cost software solution minimizes the need for additional hardware and facilitates effective communication between caretakers and those with disabilities.
Article Details
Unique Paper ID: 158577

Publication Volume & Issue: Volume 9, Issue 10

Page(s): 75 - 81
Article Preview & Download

Share This Article

Conference Alert


AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management


Last Date: 7th November 2023

Go To Issue

Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews