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April 17, 20240 citations

Hand Gesture-Shortcuts Recognition for Laptop/PC using Machine Learning

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MIM. IswaryaDPDhineshkumar PrasathSKS Lokesh Kalathi

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Abstract

In today's rapidly evolving technological environment, this research project seeks to explore and implement sophisticated systems that change the way users interact with computers using machine learning and computer vision techniques combined capabilities. Our innovative system enables users to control devices and applications without effortful natural gestures. This approach not only enhances the user experience but also opens up new accessibility, gaming experiences and a smart environment. The essence of our system lies in its ability to accurately and precisely interpret a wide range of gestures, efficiently translating them into meaningful commands Through the extensive testing and testing results demonstrate the effectiveness and capability of our approach reliable, opening the way for greater communication and more flexible human-computer interfaces Beyond immediate applications, this research contributes significantly to advances in recognition technology, pushing the boundaries of what is possible in human-computer interaction as we move further into the digital age.

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Cite This Study

Iswarya et al. (2024) studied this question.

synapsesocial.com/papers/68e6ecd2b6db64358766831fhttps://doi.org/10.1109/ic3iot60841.2024.10550366
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