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September 12, 2025International Journal of Environmental Sciences0 citationsOpen Access

Hand-Gesture Recognition System for Sustainable Technology in Environmental Monitoring

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PNP. C. NayakKDKartikeya DixitKPKishor Patil

Key Points

  • The system enables control of computers using hand gestures instead of traditional input devices.
  • It employs algorithms based on deep learning to recognize and interpret hand movements effectively.
  • Machine learning techniques are utilized to enhance the recognition accuracy of hand gestures.
  • This approach highlights innovative human-computer interaction methods that could aid various users.

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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Cite This Study

Nayak et al. (2025) studied this question.

synapsesocial.com/papers/68d44c4631b076d99fa55c0chttps://doi.org/10.64252/0n0wh730
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