RALFIE: a life-logging system for reducing potential radiation exposures

Abstract

After the nuclear power plant accident in Fukushima, a significant amount of radioactive materials were released into the environment. The radiation exposure has brought lots of concerns about environments contamination, as well as economic and social consequences. Japan governmental agencies have started to continuously monitor and collect radiation levels by monitoring posts, probe cars and airborne surveys. These monitoring data contribute to estimate the external dose levels of radioactive materials and analyze human effects in the future. In this paper, we introduce the RALFIE (RAdiation Exposure LiFelog Indicator) system to help residents and experts to search for contaminated spots in daily activities and develop a reference guideline for reducing external exposures for individuals with their own data. First we design a model to integrate personal spatio-temporal positions with air dose rates on the real-time radiation monitoring data. Then we compare the relationship between ambient dose equivalent and individuals from D-shuttle sensors. Finally, we discuss how to create semantic trajectories with users' real-time annotation and geographic features with future directions.