Brain Machine Interface for Avatar Control and Estimation for Educational Purposes Based on Neural AI Plugs

Author:

Galiautdinov Rinat1ORCID,Mkrttchian Vardan2ORCID

Affiliation:

1. Independent Researcher, Italy

2. HHH University, Australia

Abstract

In the future education process where Avatar will be used, it is critically important to have a layer which is responsible for transferring the knowledge from a Student's Avatar to Student. In this research, authors show the method and high-level architecture of how it could be done. And although the suggested approach works, the current level of technology does not allow creating a mobile set which could implement this approach. The general high-level schema of the Avatar methodology used in the education process is enclosed in the following. There are 4 layers which interact with each other. On the first layer there is a professor, who is an expert in some domain. The professor transfers their knowledge to the second layer which is a computer program, performing the role of the Professor's Avatar. The knowledge gets transferred to a Student's Avatar, which is the 3rd layer, and eventually the Student's Avatar transfers the newly received knowledge to the Student, the 4th layer in this schema. So, the most difficult part here is to transfer the knowledge from machine to human.

Publisher

IGI Global

Reference11 articles.

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2. Jain, V., & Seung, S. H. (2008). Natural image denoising with convolutional networks. In Advances in Neural Information Processing Systems (pp. 769-776).

3. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

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