On Making a Decision to Correct the Learner Behavior Based on the Signals of their Electroencephalograms When Organizing Interaction with an Anthropomorphic Teacher-Assistant Robot

DOI

10.2991/ahcs.k.191206.013How to use a DOI?

Keywords

decision-making, anthropomorphic robot, training, electroencephalograms, artificial neural planning networks, artificial neural networks

Abstract

The work discusses the method of recognizing the state of a learner using artificial neural networks based on the analysis of electroencephalogram signals during the assimilation of educational material using a hardware–software complex of a robot – an assistant teacher of anthropomorphic type.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mikhail Stepanov
AU  - Vyacheslav Musatov
AU  - Igor Egorov
AU  - Svetlana Pchelintzeva
AU  - Andrey Stepanov
PY  - 2019
DA  - 2019/12/12
TI  - On Making a Decision to Correct the Learner Behavior Based on the Signals of their Electroencephalograms When Organizing Interaction with an Anthropomorphic Teacher-Assistant Robot
BT  - Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019)
PB  - Atlantis Press
SP  - 73
EP  - 77
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahcs.k.191206.013
DO  - 10.2991/ahcs.k.191206.013
ID  - Stepanov2019
ER  -