虚拟现实在人口老龄化生活中的作用

IF 0.7 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Neural Network World Pub Date : 2022-01-01 DOI:10.14311/nnw.2022.32.015

L. Lhotská, Jan Husák, J. Stejskal, M. Kotek, J. Dolezal, Jindrich Adolf

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引用次数: 0

摘要

虚拟现实(VR)已经出现了几十年。它的第一个应用是在游戏领域。然而，硬件和软件都很昂贵，因此并不适合所有人。从那时起，技术发展迅速，为VR开辟了新的应用领域。目前，许多商业系统可用于游戏、培训和教育、模拟、设计以及医疗目的。在本文中，我们将重点关注VR在医疗保健中的应用。首先，我们介绍了现有的商业解决方案，以及显示VR在医疗保健领域潜力的研究。近年来出现了许多有趣的以老年人口为目标用户的项目和应用。我们列举了这类项目的例子。根据我们以前的经验，在分析了可用的解决方案之后，我们提出了一个用于开发此类应用程序的概念架构和软件环境，并讨论了它们的潜在用途。最后，描述了所提出的体验集交互式应用体系结构的实现。

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Role of virtual reality in the life of ageing population

Virtual reality (VR) has been on the scene for several decades already. Its first applications were in gaming. However, hardware and software were expensive and thus not for everybody. Since that time, the development of technology proceeded fast and enabled to open new application areas for VR. Currently many commercial systems are available for gaming, training and education, simulations, design, and also for medical purposes. In the article we focus on VR applications in healthcare. First we present existing commercial solutions, and research studies showing the potential of VR in healthcare. In recent years there have appeared many interesting projects and applications aimed at ageing population as target users. We present examples of such projects. Based on our previous experience and after analysis of available solutions, we propose a conceptual architecture od software environment for development of such applications and discuss their potential use. Finally, the implementation of the proposed architecture for interactive application of experience sets is described.

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来源期刊

Neural Network World 工程技术-计算机：人工智能

CiteScore

1.80

自引率

0.00%

发文量

审稿时长

12 months

期刊介绍： Neural Network World is a bimonthly journal providing the latest developments in the field of informatics with attention mainly devoted to the problems of: brain science, theory and applications of neural networks (both artificial and natural), fuzzy-neural systems, methods and applications of evolutionary algorithms, methods of parallel and mass-parallel computing, problems of soft-computing, methods of artificial intelligence.