Situation-aware system based on knowledge graphs derived from R-Map analysis of accident situational big data

Abstract

Unintentional injuries are common among children below the age of 14 years. Although the concern about the need for injury prevention is increasing among caregivers, preventable injuries are still one of the leading causes of death among children aged 0-14 years. Hence, there is a need for an effective system that can empower caregivers, parents and nursery teachers in making better and faster decisions to protect the lives of children through situational design of safe environments. In this paper, as a new situational design tool, we propose a situation-aware system for unintentional injury prevention with the integration of image processing using an RGB-D camera and spatial knowledge graphs. This paper describes the identification of dangerous situations based on the results obtained from an R-Map analysis of a large amount of data on injury situations. This paper also describes an implementation of the system and the advantages that it can offer in understanding possible dangerous situations in indoor environments like classrooms or homes and providing alternative suggestions on what kind of preventive measures can be taken to minimize such injuries. The feasibility of the proposed system was proved by applying it into nursery injury situational data.