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Enhanced Virtual Reality: Exploring an Immersive and Realistic Virtual Reality Training for Nursing

  • Xinmin Fang
  • , Xingyu Chen
  • , Wenyao Xu
  • , Zhengxiong Li
  • Guangdong University of Technology
  • University of Colorado Denver

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Virtual Reality (VR) training is an emerging method, which is widely deployed in more and more applications. Compared with traditional physical training and video games-based training, VR training can not only provide a sense of realism and immersion similar to physical training but can also train at any time and place, saving time and money. However, due to some constraints like lacking reflections of the ambient environment, the realism and immersion of VR training are insufficient. Therefore, in this paper, we propose enhanced VR training which senses the ambient environment and reflects them as dynamic unexpected training tasks to solve the above problems.

Original languageEnglish
Title of host publicationSenSys 2021 - Proceedings of the 2021 19th ACM Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery, Inc
Pages361-362
Number of pages2
ISBN (Electronic)9781450390972
DOIs
StatePublished - Nov 15 2021
Event19th ACM Conference on Embedded Networked Sensor Systems, SenSys 2021 - Hybrid, Coimbra, Portugal
Duration: Nov 15 2021Nov 17 2021

Publication series

NameSenSys 2021 - Proceedings of the 2021 19th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference19th ACM Conference on Embedded Networked Sensor Systems, SenSys 2021
Country/TerritoryPortugal
CityHybrid, Coimbra
Period11/15/2111/17/21

Keywords

  • Mobile Computing
  • VR Training
  • Virtual Reality

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