Decision Method of Holding a Mobile Terminal and Abnormal Behavior by Machine Learning for ERESS

Abstract

We have proposed an Emergency Rescue Evacuation Support System (ERESS) that is effective in sudden disasters. This is intended to detect disasters by collecting moving data of mobile terminals. In this research, in order to realize behavioral analysis without restricting the terminal holding state, we propose a terminal holding judgment method and an abnormal behavior judgment method using machine learning. Experimental results show the effectiveness of the proposed method.