IoT-Based Module Development for Management and Real-time Activity Recognition of Disaster Recovery Resources

Sangyun Choe, Juhyung Park, Sumin Han, Jinwoo Park, Tai-woo Chang, Hyeokjin Yun

Abstract


Globally, frequency and scale of natural disasters are growing, also the damage is increasing. In view of the damage by natural disasters for several years, it is true that Korea is not free from such damages. In this paper, we propose a process to efficiently manage recovery resources in case of disaster damage. We utilize the IoT technology to detect the resource status in real time, and configure the process so that the state and movement of the recovery resource can be grasped in real time through the resource activity recognition module. In addition, we designed the database that is necessary to actualize it, and developed and experimented resource activity recognition module using smart-phone sensors. This will contribute to building a quick and efficient disaster response system.


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References


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