Gestures through hands and fingers, popularly called Hand gestures, are a common way for human-robot interaction. Hand motions are a type of nonverbal correspondence that can be utilised in a few fields, for example, correspondence between hard of hearing quiet individuals, robot controlled, Human and Computer communication, house mechanisation and clinical areas. Research articles in view of hand and finger motions have embraced various strategies, including those in light of instrumented sensor innovation and PC vision. Hand gesture recognition gives a canny, normal and helpful method of Human-Computer Interaction (HCI). Hand gesture recognition has numerous applications in medical, engineering and even military research areas. As the reliance of our general public on innovation develops step by step, the utilisation of gadgets like cell phones, PCs are additionally expanding. Hand signals are utilized as a contribution to our framework. Hand gesture recognition based man-machine point of interaction is being grown overwhelmingly lately. Because of the effect of lighting and complex foundation, many hand gesture recognition frameworks work well. A versatile skin variety model in light of face recognition is used to identify skin variety areas like hands. To order the unique hand signals, a straightforward and quick movement history picture based strategy is used. Four gatherings of hand directional examples were prepared for the up, down, left, and right hand signals classifiers.


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    Title :

    Hand Gesture Controlled Video Player Application


    Contributors:
    Prathyakshini (author) / Prathwini (author)


    Publication date :

    2023-11-22


    Size :

    645425 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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