Одним из современных инструментов организации процесса обучения специалистов является использование виртуальных тренажерных комплексов, позволяющих смоделировать штатные и аварийные сценарии профессиональной деятельности и выработать необходимые компетенции у обучающихся. Существующие подходы к взаимодействию с виртуальной реальностью в рамках тренажерных комплексов основаны на использовании различного рода контроллеров, что негативно сказывается на иммерсивности процесса обучения. Контроллеры также не позволяют смоделировать физическую нагрузку, возникающую при ходьбе или беге при подготовке специалистов в ряде областей (МЧС, военная отрасль, горнодобывающая промышленность и другие). Для решения этой задачи необходимо использование различных беговых платформ. В рамках исследования выявлены определенные проблемы существующих подходов к взаимодействию с виртуальной реальностью посредством беговой платформы. Для их решения предлагается разработка новых методов управления платформой. В работе рассмотрено несколько алгоритмов управления платформой: линейный, нелинейный и нелинейный модифицированный. Представлено математическое описание алгоритмов и проведены экспериментальные исследования, позволяющие выбрать оптимальный алгоритм управления в соответствии с набором определенных метрик. Использование разработанного алгоритма управления позволит улучшить качество взаимодействия обучающего с виртуальной реальностью на беговой платформе. Полученные результаты могут быть использованы при организации процесса обучения специалистов с применением систем виртуальной реальности One of the modern tools for organizing the training process for specialists is the use of virtual training complexes, which make it possible to simulate regular and emergency scenarios of professional activity and develop the necessary competencies for students. Existing approaches to interacting with virtual reality within the framework of training complexes are based on the use of various kinds of controllers, which negatively affects the immersiveness of the learning process. The controllers also do not allow simulating the physical activity that occurs when walking or running, which is necessary when training specialists in a number of areas (Ministry of Emergency Situations, the military industry, the mining industry, and others). To solve this problem, it is necessary to use different running platforms. The study identified certain problems of existing approaches to interacting with virtual reality through a running platform. To solve them, we propose to develop new methods of platform management. The paper considers several algorithms for platform control: linear, nonlinear and nonlinear modified. We present a mathematical description of the algorithms, we carried out experimental studies, which make it possible to choose the optimal control algorithm in accordance with a set of certain metrics. The use of the developed control algorithm will improve the quality of the teacher's interaction when interacting with virtual reality on the running platform. The results obtained can be used in organizing the process of training specialists using virtual reality systems
Comprehensive training of specialists in machine-building, chemical and mining industries requires the use of modern means of education. The use of software and hardware platforms based on virtual reality technologies and controlled treadmills allows for a high level of immersion in the learning process and the development of the necessary practical skills. However, the existing control algorithms for treadmills have a number of disadvantages: the effect of lag, low adaptability to human actions. The paper discusses several approaches to organizing the management of a software and hardware platform to improve the quality of movement in virtual reality. Linear and nonlinear algorithms have been developed and have been tested, and the quality of human movement in virtual reality has been made. The nonlinear modified algorithm has allowed to obtain the best results and to reduce the amplitude of oscillations relative to the initial position.
The work considers the task of information processing in a subsystem of the hardware-software platform of the simulator complex - a mobile system of simulating isolation breathing apparatuses. The problem of predicting values when data packets are lost during their wireless transmission has been revealed. To solve the problem, an algorithm for data processing based on neural network technology has been developed, which allows reducing the number of data packet losses by predicting the lost values. The experimental studies confirmed the adequacy and effectiveness of the proposed algorithm. The use of neural networks in solving the problems of information processing has improved the accuracy of this process.
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