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Conference material: "Proceedings of the International Conference on Computer Graphics and Vision “Graphicon” (19-21 September 2022, Ryazan)"
Authors: Chuprina S.I., Labutin I.A.
Scientific Visualization Tools to Improve Utilizing Neural Interface
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.
Internet of Things, Ontology Engineering, Brain-Computer Interface, Clean-Room Reverse Engineering, Replicability, Reproducibility
Publication language: english,  pages: 12 (p. 391-402)
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About authors:
  • Chuprina Svetlana Igorevna,,  Perm State University
  • Labutin Ivan Alexandrovich,,  Perm State University