Complex of ontologies for virtual simulators with biofeedback
Автор: Gribova V.V., Strekalev V.O.
Журнал: Онтология проектирования @ontology-of-designing
Рубрика: Прикладные онтологии проектирования
Статья в выпуске: 2 (44) т.12, 2022 года.
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Currently, virtual simulators are being actively developed and implemented to solve problems of a wide profile. A special place among them is occupied by solutions based on virtual reality and biofeedback. The use of an ontological approach and semantic representation of information makes it possible to optimize the processing, storing, searching and analyzing data for the implementation of virtual simulators at all stages of their life cycle. The basic principles of creating virtual simulators with biofeedback, which are the basis of the software package for their creation, reproduction and maintenance, are presented. The implementation of virtual simulators requires a description of the virtual environment, the creation of a work scenario and managing it during operation based on individual user parameters. A complex of ontologies for virtual simulators with biofeedback is proposed, which consists of an ontology of the virtual environment, an ontology of research, an ontology of the user's map, an ontology of equipment and an ontology of knowledge about the user's states. It is shown that the use of this complex of ontologies significantly reduces labor costs when designing virtual simulators and to form an information representation of the solutions being developed, to simplify the creation and introduction of changes. To demonstrate the solutions presented, an example of a virtual simulator for performing work at height is presented, with the help of which it is possible to test a person for acrophobia (fear of heights) and prevention of anxiety disorders, with the possibility of changing the parameters of the virtual environment depending on the user's condition.
Complex of ontologies, virtual reality, virtual simulators, biofeedback, instrumental complex, virtual environment
Короткий адрес: https://sciup.org/170195098
IDR: 170195098 | DOI: 10.18287/2223-9537-2022-12-2-172-185