Hand-Gesture Recognition System for Sustainable Technology in Environmental Monitoring

Authors

  • Pooja Nayak Author
  • Kanchana M Dixit Author
  • Keerti Patil Author
  • Sowbhagya M P Author
  • Nandini G Author
  • Babu Kumar S Author
  • Anusha Preetham Author
  • Nagarathna C R Author

DOI:

https://doi.org/10.64252/0n0wh730

Keywords:

Computer Vision, Open CV, Deep Learning, Image Processing.

Abstract

In human-computer interactions, hand gesture recognition is crucial. As we can see, many new technological developments are taking place. One of these is biometric authentication, which we frequently see in smartphones. In a similar vein, hand gesture recognition is a contemporary method of human- computer interaction. Using this method, we can control our system by waving our hands in front of a webcam. Hand gesture recognition can be helpful for a variety of people. Utilizing machine learning is how the system's algorithm works. Without the use of a real mouse, the computer can be operated digitally and can execute left-click, right-click, scrolling, and computer cursor tasks based on hand gestures. Deep learning is the basis for the algorithm.

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Published

2025-09-02

Issue

Section

Articles

How to Cite

Hand-Gesture Recognition System for Sustainable Technology in Environmental Monitoring. (2025). International Journal of Environmental Sciences, 216-222. https://doi.org/10.64252/0n0wh730