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Brain Machine Interface for Avatar Control and Estimation for Educational Purposes Based on Neural AI Plugs: Theoretical and Methodological Aspects

Source Title: Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms

ISBN13: 9781799815815|ISBN10: 1799815811|ISBN13 Softcover: 9781799815822|EISBN13: 9781799815839

DOI: 10.4018/978-1-7998-1581-5.ch016

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MLA

Galiautdinov, Rinat, and Vardan Mkrttchian. "Brain Machine Interface for Avatar Control and Estimation for Educational Purposes Based on Neural AI Plugs: Theoretical and Methodological Aspects." Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms, edited by Vardan Mkrttchian, et al., IGI Global, 2020, pp. 294-316. https://doi.org/10.4018/978-1-7998-1581-5.ch016

APA

Galiautdinov, R. & Mkrttchian, V. (2020). Brain Machine Interface for Avatar Control and Estimation for Educational Purposes Based on Neural AI Plugs: Theoretical and Methodological Aspects. In V. Mkrttchian, E. Aleshina, & L. Gamidullaeva (Eds.), Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms (pp. 294-316). IGI Global. https://doi.org/10.4018/978-1-7998-1581-5.ch016

Chicago

Galiautdinov, Rinat, and Vardan Mkrttchian. "Brain Machine Interface for Avatar Control and Estimation for Educational Purposes Based on Neural AI Plugs: Theoretical and Methodological Aspects." In Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms, edited by Vardan Mkrttchian, Ekaterina Aleshina, and Leyla Gamidullaeva, 294-316. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1581-5.ch016

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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.

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Brain Machine Interface for Avatar Control and Estimation for Educational Purposes Based on Neural AI Plugs: Theoretical and Methodological Aspects

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