In today’s world, technologies like virtual and augmented reality grow every second and provide diverse dimensions to various other domains. These technologies are more likely to bring users into the virtual world to help them understand multiple concepts more closely. In fact, in the present era, little kids of the current generation are more curious about the know-how of things in a more visual way. The curiosity among the young kids to understand various concepts requires a better learning environment. The kids may explore the working of the objects in 3D by visualizing the natural movements. But practically, this demands a virtualized environment for them to understand these things and that too in a safe environment. Now, this is somehow getting possible due to the latest advancement within these technologies which opens space for exploration for various domains. Recently Google has developed ARCore, an SDK that allows the development of augmented reality-based applications. In this virtualized environment, the user can immerse themselves even when they are not physically present. In our model, we have facilitated the user to explore different dimensions of the computer vision which are required for understating various concepts in a very cost-effective manner. In our model, we have provided a vision-based interface to the user that replaces peripheral hardware without affecting their performances and facilitates them to use these interfaces embedded with AR to better understand 3D concepts.


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    Titel :

    Leverage Computer Vision for Cost-Effective Learning Paradigm


    Weitere Titelangaben:

    Studies in Systems, Decision and Control


    Beteiligte:
    Hassanien, Aboul Ella (Herausgeber:in) / Gupta, Deepak (Herausgeber:in) / Khanna, Ashish (Herausgeber:in) / Slowik, Adam (Herausgeber:in) / kumar, Ankit (Autor:in) / Yadav, Atul (Autor:in) / Kumar, Ashutosh (Autor:in) / Kumar, Amit (Autor:in) / Kaushik, Achal (Autor:in)


    Erscheinungsdatum :

    2022-02-24


    Format / Umfang :

    16 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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