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Conference material: "Proceedings of the International Conference on Computer Graphics and Vision Graphicon (23-26 September 2019, Bryansk)"
Authors: Ryabinin K.V., Belousov K.I., Chuprina S.I., Zelyanskaya N.L.
Perceptive-Cognitive User Interface for Visual Analytics Systems
The paper is devoted to using Internet of Things technologies for hardware human-machine interfaces development. Thanks to these technologies, it may be possible to improve the capabilities of visual analytics systems with multiple modalities: movements, audio, etc. It can speed up semantic data filtering and interpretation, increasing the efficiency of analytics. We suggest using ontology engineering methods and tools to automate both the programming of custom hardware human-machine interfaces and connecting them to the third-party software. The proposed concept is tested by solving the real-world tasks ofdiscovering the relationships between the psychological characteristics ofthe native speakers and their verbal behavior.
visual analytics, Internet of Things, human-machine interface, ontology engineering
Publication language: russian,  pages: 6 (p. 93-98)
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About authors:
  • Ryabinin Konstantin Valentinovich,  ,  Perm State University
  • Belousov Konstantin Igorevich,  ,  Perm State University
  • Chuprina Svetlana Igorevna,  ,  Perm State University
  • Zelyanskaya Natalya Lvovna,  ,  Perm State University