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- W4301431431 abstract "Hand gestures are an essential component in our everyday lives for nodding and conversation. At this time, human–computer interactions have so many strategies. However, this type of interaction with a computer could create revolutions by not using complicated hardware. Using this technology, any individual can communicate with a computer in a more natural manner by simply using his/her hand to navigate throughout the computer screen. By virtually displaying our hand in front of the camera, we will be able to move the cursor and control our system. All sorts of human beings can use this system effectively and in an easy way to control computer systems and numerous gadgets. Based upon the above concept, this paper is staged. This paper clarifies the methodologies for providing numerous steps in color detection, and vision-based strategies for identifying a hand and controlling the virtual mouse." @default.
- W4301431431 created "2022-10-05" @default.
- W4301431431 creator A5026597621 @default.
- W4301431431 date "2022-10-06" @default.
- W4301431431 modified "2023-10-16" @default.
- W4301431431 title "Hand Gesture-Controlled Simulated Mouse Using Computer Vision" @default.
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- W4301431431 doi "https://doi.org/10.1007/978-981-19-3575-6_1" @default.
- W4301431431 hasPublicationYear "2022" @default.
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