Персона: Алюшин, Виктор Михайлович
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Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
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- ПубликацияТолько метаданныеCorrelation of a Face Vibroimage Informative Parameters with Characteristics of a Person’s Functional State When Using VR and AR Technical Means(2021) Alyushin, V.; Алюшин, Виктор Михайлович© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.An analysis of the specifics of modern VR, AR, MR and XR systems use in educational, recreational and recovery processes is presented. The urgency of continuous monitoring of the current functional state (FS) and its psycho-emotional state (PES) using VR, AR, MR and XR technical means has been substantiated. Maintaining the state of health, as well as the required level of performance, are highlighted as the main requirements for the applied VR, AR, MR and XR means. The relevance of the use of infrared (IR) biometric technologies for the registration of the most informative human bioparameters, determining his current PES, has been substantiated. Analysis of IR vibraimage of a face is highlighted as the most promising technology for assessing its current PES. The possibility of determining the current FS on the basis of a set of bioparameters determining its PES is substantiated. For this purpose, the analysis of the correlation of the FS and the most informative bioparameters determined by the analysis of the IR vibraimage of the user’s face by VR, AR, MR and XR means is given. To assess the FS in the study, it was proposed to use a value determined by the number of errors committed during periodic execution of specialized tests integrated into the VR, AR, MR, and XR scenario. Experimental data obtained during laboratory testing of the method confirmed the possibility of assessing FS based on a set of bioparameters measured during the processing and analysis of the IR vibraimage of the VR, AR, MR and XR user’s face. The research results are of particular importance when training operators to control potentially hazardous facilities using VR, AR, MR or XR technologies, and, first of all, for the nuclear industry.
- ПубликацияТолько метаданныеA Biologically Inspired Approach to Protecting and Verifying the Authenticity of Important Documents(2024) Alyushin, A. M.; Alyushin, V. M.; Dvoryankin, S. V.; Kolobashkina, L. V.; Алюшин, Александр Михайлович; Алюшин, Виктор Михайлович; Дворянкин, Сергей Владимирович; Колобашкина, Любовь Викторовна
- ПубликацияОткрытый доступThe classification technology of possible psycho-emotional states of a group of people based on algorithms, implemented in neuro-LSI Ni1000(2020) Alyushin, M.; Alyushin, V.; Алюшин, Михаил Васильевич; Алюшин, Виктор Михайлович© 2020 The Authors. Published by Elsevier B.V.The relevance of recognition and classification of the psycho-emotional state (PES) of a group of people in real time is shown. Individual characteristics of a person, as well as wide ranges of possible changes in his bioparameters under rapidly changing external conditions, are identified as the main factors that impede the recognition and classification of PES. The expediency of using neural network technology for recognition and classification is substantiated. Algorithms implemented in the neuro-LSI Ni1000 are selected as the base ones. A technique is proposed for normalizing heterogeneous data about a person. The possibility of taking into account the importance of various bioparameters from the point of view of their influence on PES is shown. The technology of class formation is analyzed on the basis of a unified form of features presentation. An example of the use of PS recognition and classification technology in the educational process is presented.
- ПубликацияОткрытый доступIncreasing the informativeness content of human face vibraimage through application principles of cognitive psychology(2020) Kolobashkina, L.; Alyushin, V.; Колобашкина, Любовь Викторовна; Алюшин, Виктор Михайлович© 2020 The Authors. Published by Elsevier B.V.The relevance of the use of modern digital technologies for continuous monitoring of the current functional and psycho-emotional state (CFPES) of workers in critical professions is shown. The possibilities of optical technology based on the receipt and analysis of vibroimages of a person's face are analyzed. It is shown that the practical implementation of the principles of cognitive psychology makes it possible to increase the informativeness of vibraimage by minimizing the influence of external noise, as well as noise of software and hardware for image processing. The developed algorithm is focused on streaming video digital processing. The experimental testing of the approach during the training sessions confirmed its high efficiency.
- ПубликацияТолько метаданныеAssessment of Heart Rate Variability Based on a Probabilistic Analysis of Wearable Biometric Device Data in Support Systems for Staffing Decisions(2020) Alyushin, M. V.; Alyushin, V. M.; Kolobashkina, L. V.; Parakhin, V. R.; Алюшин, Михаил Васильевич; Алюшин, Виктор Михайлович; Колобашкина, Любовь Викторовна; Парахин, Владислав Романович© 2020 IEEE.It is shown that the support system for personnel decisions can improve the reliability of the human factor, which is important for ensuring the trouble-free functioning of potentially dangerous facilities. Two main areas of application of support systems for personnel decisions have been identified-personnel selection for hiring and managing the reliability of the human factor directly in the process of professional activity in the workplace. Heart rate (HR) and heart rate variability (HRV) are highlighted as the most informative parameters that allow you to objectively assess the current functional and psycho-emotional state of staff. The relevance of the use of wearable biometric devices in a production environment is substantiated. A technique for estimating HRV based on a probabilistic analysis of the data of such devices is proposed.