Scientific Visualization Tools to Improve Utilizing Neural Interface-Reference-Cited by-同舟云学术

Scientific Visualization Tools to Improve Utilizing Neural Interface

Published:2022 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd International Conference on Computer Graphics and Vision
language:
Short-container-title:

Author:

Chuprina Svetlana Igorevna¹^ORCID,Labutin Ivan Alexandrovich¹^ORCID

Affiliation:

1. Perm State University

Abstract

The technological progress in the field of Brain-Computer Interface and its integration with IoT put on the agenda the question of the fast transition of the technology from laboratory experiments into everyday life. But there are a lot of challenges and some of them, in particular, issues of replicability and reproducibility of experiments are under discussion in this paper. We also discuss how to improve utilizing neural Interface with the help of ontology-driven scientific visualization tools. Using the principles of “clean-room reverse engineering” methodology to rewrite existing EEG device drivers we make it possible to embed visualization tools which dynamically render the streaming data coming from different EEG devices within a diverse IoT infrastructure without any legal complications.

Publisher

Keldysh Institute of Applied Mathematics

Reference27 articles.

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