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9997139
Behavior Analysis Based On Nine Degrees-of-Freedom Sensor for Emergency Rescue Evacuation Support System
Abstract:
Around the world, there are frequent incidents of natural disasters, such as earthquakes, tsunamis, floods, and snowstorms, as well as manmade disasters such as fires, arsons, and acts of terror. These diverse and unpredictable adversities have resulted in a number of fatalities and injuries. If disaster occurrence can be assessed quickly and information such as the exact location of the disaster and evacuation routes can be provided, victims can promptly move to safe locations, minimizing losses. This paper proposes a behavior analysis method based on a nine degrees-of-freedom (9-DOF) sensor that is effective for the emergency rescue evacuation support system (ERESS), which is being researched with an objective of providing evacuation support during disasters. Based on experiments performed using the acceleration sensor and the gyroscope sensor in the 9-DOF sensor, data are analyzed for human behavior regarding stationary position, walking, running, and during emergency situation to suggest guidelines for system judgment. Using the results of the experiments performed to determine disaster occurrence, it was confirmed that the proposed method quickly determines whether a disaster has occurred.
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References:

[1] K. Mori, A. Yamane, Y. Hayakawa T. Wada, K. Ohtsuki and H. Okada, "Development of Emergency Rescue Evacuation Support System (ERESS) in Panic-type Disasters: Immediate Emergency Detections by Machine Learning,” International Technical Conference on Circuits/Systems, Computers and Communications 2011 (ITC-CSCC 2011), pp.69-72, Gyeongju, Korea, June 2011.
[2] T. Tsunemine, E. Kadokawa, Y. Ueda, J. Fukumoto, T. Wada, K. Ohtsuki and H. Okada, "Emergency Urgent Communications for Searching Evacuation Route in a Local Disaster,” IEEE Consumer Communications and Networking Conference 2008 (CCNC2008), pp.1196-1200, Jan. 2008.
[3] A. Yamane, Y. Hayakawa, K. Mori, T. Wada, K. Ohtsuki and H. Okada, "Development of Emergency Rescue Urgent Communications in Panic-typeDisasters: Immediate Emergency Detections by Evacuee’s Behavior,” JSST Multi Dimension Mobile Communication Network Society 2010, No.JSST-MDMC2010-2-04, Dec. 2010.
[4] J. Fujimura, T. Nakamura, Y. Ishida, K. Mori, Y. Hayakawa, K. Tsudaka, T. Wada, K, Ohtsuki and H. Okada, "A New State Judgment Algorithm for Emergency Rescue Evacuation Support System (ERESS) in Panic-type Disasters,” International Conference on Convergence and Hybrid Information Technology (ICHIT) 2012, Aug. 2012.
[5] Maeng-Hwan Hyun, Dae-Man Do and Young-Bok Choi, "Emergency Situation Detection based on 9-axis Sensor for Emergency Rescue Evacuation Support,” International Conference on Convergence Content 2013 (ICVCC2013), Dec. 2013.
[6] Maeng-Hwan Hyun, "9-axis sensor based behavior analysis for Emergency Rescue Evacuation Support System,” Master’s thesis, Tongmyong University, Korea, Feb. 2013.
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