Download PDFOpen PDF in browser

Brightness and Volume Controller Using Hand Gesture Recognition

EasyChair Preprint no. 13124

5 pagesDate: April 28, 2024


Hand Gesture Detection is receiving a great deal of attention these days because of its numerous uses and capacity to effectively interface with machines through human interaction. We are attempting to gain knowledge of hand gesture detecting systems in this work. In this study, we are attempting to figure out how image processing works and how we can utilize it to create a hand motion recognition system that allow us to operate the computer without touching it. The work mainly focuses on controlling the brightness and volume of the computer. This is useful for the people that are not mentally stable or weak from mind can also benefit by technology and can operate the computer. This technology can be used to make computers even more user-friendly

Keyphrases: feature extraction, gesture recognition, Human Computer Interaction, image processing, object detection

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {R Roopam Chowdary and C Rohith Kumar and C Kavyashree and S Shruthi and P Saket Sree Ram and Neehika P Settypalli},
  title = {Brightness and Volume Controller Using Hand Gesture Recognition},
  howpublished = {EasyChair Preprint no. 13124},

  year = {EasyChair, 2024}}
Download PDFOpen PDF in browser