Representation of VR-Based Health Information for Smart City

Autor: Seo Eun Kim, Chang-Sup Park, Ji Min Kim, Myeong Won Lee, Cheol Hee Jung, Seung-Pyo Lee
Rok vydání: 2020
Předmět:
Zdroj: Web3D
DOI: 10.1145/3424616.3424698
Popis: A rich source of information relevant to smart cities and health care comes from sensors embedded in the environment, or ambient sensors. Strategically responding to sensed data helps healthcare would be smarter. By gaining real time access to this information, city services can respond promptly to urgent health needs and make decisions to avoid unhealthy situations. The emergence of virtual reality and ICT assisted urban planning effectively overcomes these complexities through visualization of big data. Web-based visualization technologies such as virtual reality (VR) present a highly detailed dynamic virtual environment. Also, there is continuously increasing demand for the effective organization of this diversified data, linkage with other data, and the visualization of data. In recent years, there has been a rapid increase in the development of health information systems motivated by legislation intended to protect patients’ information and privacy and government interest in reducing the cost and improving the quality of healthcare. In this paper, we investigate types of physiological content and the related sensors that can be included in a smart city healthcare system. We present a technical healthcare information model with XML in a standardized format for the implementation of a 3D virtual smart city as follows: Firstly, 3D virtual environment and healthcare information systems were confirmed to be dictated by sensor information parameters via XML. Secondly, real-time location, direction, and health data representation for 3D health management sensor data monitoring and real-time monitoring were conducted in XML. The identified key use case physiological sensor-based XML is helpful as it provides a standardized format for the implementation of a 3D virtual smart city. For implementation, X3D was used for visualizing an example health information system.
Databáze: OpenAIRE