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In recent years, in combination with technological advances, new paradigms of interaction with the user have emerged. This has motivated the industry to create increasingly powerful and accessible natural user interface devices. In particular, depth cameras have achieved high levels of user adoption. These devices include the Microsoft Kinect, the...
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... Tis article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of systematic manipulation of the publication and peer-review process. ...
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Computers today aren't just confined to laptops and desktops. Mobile gadgets like mobile phones and laptops also make use of it. However, one input device that hasn't changed in the last 50 years is the QWERTY keyboard. Users of virtual keyboards can type on any surface as if it were a keyboard thanks to sensor technology and artificial intelligence. In this research, we use the idea of image processing to create an application for seeing a computer keyboard using a novel framework which can detect hand gestures with precise accuracy while also being sustainable and financially viable. A camera is used to capture keyboard images and finger movements which subsequently acts as a virtual keyboard. In addition, a visible virtual mouse that accepts finger coordinates as input is also described in this study. This system has a direct benefit of reducing peripheral cost, reducing electronics waste generated due to external devices and providing accessibility to people who cannot use the traditional keyboard and mouse.
Computer technologies are no longer limited to desktops. The recent advances of computer technologies include portable devices like mobile phones and laptop. However, one input device that has not changed in the last 50 years is the QWERTY keyboard. With the recent innovation in sensor technology and artificial intelligence (AI), users can type on any surface as if it was a keyboard by using the virtual keyboards. This research study utilizes the image processing technology to design and develop an application to replace the traditional computer keyboard by using the MediaPipe framework, which can detect hand gestures with precise accuracy while also remaining sustainable and financially viable. Here, a camera is used to capture the keyboard images and finger movements and these movements will then act as a virtual keyboard. In addition, a visible virtual mouse pointer that accepts finger coordinates as input is also described in this study. The proposed system has a direct advantage of reducing peripheral cost, reducing electronics waste generated due to external devices, and providing accessibility to people, who cannot use traditional keyboard and mouse.KeywordsGestureArtificial intelligence (AI)Image classificationImage detectionInput devicesKeyboardMouseVirtual realityGesture controlsOpenCVCVZone
