Abstract
Indoor navigation has become more important these days due to the current situation worldwide in the aftermath of the outbreak of the COVID-19 pandemic, posing an unparalleled threat amounting to a humanitarian crisis on a global scale. Indoor navigation employs a variety of technologies, including Wi-Fi, Bluetooth, and RFID. Support for these technologies requires accurate information and appropriate processing and modeling to help and direct users of the optimal route to desired destinations and to monitor crowd density in order to maintain social distancing. This research will present a semantic indoor ontology model for indoor navigation and the reduction of human density in indoor space to ensure social distancing and prevent transmission. The proposed system is based on semantic representations of the components of navigation paths which, in turn, enable reasoning functionality. Despite the system’s complexity, the evaluation revealed that it functions well.
Subject
Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development
Reference26 articles.
1. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants
2. Localization algorithm of beacon nodes chain deployment based on coal mine underground wireless sensor networks;Qiao;J. China Coal Soc.,2010
3. Study on an Indoor Positioning System for Harsh Environments Based on Wi-Fi and Bluetooth Low Energy
4. Survey of indoor positioning technologies and systems;Zhu,2014
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献