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An Efficient Artificial Intelligence based Human-Machine Interaction System
2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023 ; : 2067-2071, 2023.
Article Dans Anglais | Scopus | ID: covidwho-20243456
ABSTRACT
In today's computer systems, the mouse is an essential input device. Touch interfaces are high-contact planes that we use on a regular basis and frequently throughout the period. As a result, the input device gets infested with bacteria and pathogens. Despite the fact that wireless mouse have eliminated the bunch of tangled wires, there is still a desire to tap the gadget. In light of the epidemic, this proposed method employs a outlying webcam or an in-built image sensor to capture arm gestures and identify fingertip detection, allowing users to execute standard mouse activities such as left click, scrolling and other mouse activities. The algorithm is trained using machine learning with the use of image sensor and the fingers are identified efficiently. As a result, this reliance on corporeal devices to manage the computational system cancels out the requirement of man-machine interface. Thus the suggested approach will prevent the proliferation of Covid-19. © 2023 IEEE.
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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Scopus langue: Anglais Revue: 2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023 Année: 2023 Type de document: Article

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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Scopus langue: Anglais Revue: 2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023 Année: 2023 Type de document: Article