Mapping the Evolution of Hand Gesture Recognition: Techniques, Challenges and Innovations
Rameesa A.B, Bismin V Sherif
Hand Gesture Recognition, Convolution Neural Networks, Machine Learning, MediaPipe.
Hand gesture recognition (HGR) has emerged as a vital component in human-computer interaction (HCI) systems, enabling natural and intuitive communication between humans and machines. It has many applications in virtual environment control and sign language translation, robot control, or music creation. This survey paper provides a comprehensive overview of the various techniques, methodologies, and advancements in the field of HGR. This research focuses on the development of an efficient hand gesture recognition system leveraging machine learning algorithms. The primary objective is to interpret and classify hand movements captured by sensors, transforming them into actionable commands.
Article Details
Unique Paper ID: 164731

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 3041 - 3046
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews