Abstract: Hand gesture recognition systems have advanced rapidly in recent years, owing to their capacity to successfully collaborate with machines. In a virtual environment, gestures are seen to be the most natural way for humans and computers to communicate. We frequently use hand gestures to convey information because they are a form of nonverbal communication that allows us to express ourselves freely. To extract the hand region in our system, we employed background subtraction. Our PC's camera records a live video, from which a preview is taken with the assistance of its functionalities or activities.
Keywords: Gesture recognition, OpenCV, human-computer interaction, python, machine learning.
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DOI:
10.17148/IJARCCE.2022.115134
