Development of Emergency Rescue Evacuation Support System (ERESS) in Panic-Type Disasters: Disaster Recognition Algorithm by Support Vector Machine

Kazuya MORI; Akinori YAMANE; Youhei HAYAKAWA; Tomotaka WADA; Kazuhiro OHTSUKI; Hiromi OKADA

doi:10.1587/transfun.E96.A.649

Development of Emergency Rescue Evacuation Support System (ERESS) in Panic-Type Disasters: Disaster Recognition Algorithm by Support Vector Machine

Kazuya MORI, Akinori YAMANE, Youhei HAYAKAWA, Tomotaka WADA, Kazuhiro OHTSUKI, Hiromi OKADA

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Many people have faced mortal risks due to sudden disasters such as earthquakes, fires, and terrorisms, etc. In disasters where most people become panic, it is important to grasp disaster positions immediately and to find out some appropriate evacuation routes. We previously proposed the specific evacuation support system named as Emergency Rescue Evacuation Support System (ERESS). ERESS is based on Mobile Ad-hoc network (MANET) and aims to reduce the number of victims in panic-type disasters. This system consists of mobile terminals with advanced disaster recognition algorithm and various sensors such as acceleration, angular velocity and earth magnetism. However, the former ERESS did not have the clear criteria to detect the disaster outbreak. In this paper, we propose a new disaster recognition algorithm by Support Vector Machine (SVM) which is a kind of machine learning. In this method, an ERESS mobile terminal learns the behaviors of its holder by SVM. The SVM acquires the decision boundary based on the sensing data of the terminal holder, and it is judged whether to be the emergency. We show the validity of the proposed method by panic-type experiments.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E96-A No.2 pp.649-657

Publication Date: 2013/02/01

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Online ISSN: 1745-1337

DOI: 10.1587/transfun.E96.A.649

Type of Manuscript: PAPER

Category: Mobile Information Network and Personal Communications

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Kazuya MORI, Akinori YAMANE, Youhei HAYAKAWA, Tomotaka WADA, Kazuhiro OHTSUKI, Hiromi OKADA, "Development of Emergency Rescue Evacuation Support System (ERESS) in Panic-Type Disasters: Disaster Recognition Algorithm by Support Vector Machine" in IEICE TRANSACTIONS on Fundamentals, vol. E96-A, no. 2, pp. 649-657, February 2013, doi: 10.1587/transfun.E96.A.649.
Abstract: Many people have faced mortal risks due to sudden disasters such as earthquakes, fires, and terrorisms, etc. In disasters where most people become panic, it is important to grasp disaster positions immediately and to find out some appropriate evacuation routes. We previously proposed the specific evacuation support system named as Emergency Rescue Evacuation Support System (ERESS). ERESS is based on Mobile Ad-hoc network (MANET) and aims to reduce the number of victims in panic-type disasters. This system consists of mobile terminals with advanced disaster recognition algorithm and various sensors such as acceleration, angular velocity and earth magnetism. However, the former ERESS did not have the clear criteria to detect the disaster outbreak. In this paper, we propose a new disaster recognition algorithm by Support Vector Machine (SVM) which is a kind of machine learning. In this method, an ERESS mobile terminal learns the behaviors of its holder by SVM. The SVM acquires the decision boundary based on the sensing data of the terminal holder, and it is judged whether to be the emergency. We show the validity of the proposed method by panic-type experiments.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E96.A.649/_p

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@ARTICLE{e96-a_2_649,
author={Kazuya MORI, Akinori YAMANE, Youhei HAYAKAWA, Tomotaka WADA, Kazuhiro OHTSUKI, Hiromi OKADA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Development of Emergency Rescue Evacuation Support System (ERESS) in Panic-Type Disasters: Disaster Recognition Algorithm by Support Vector Machine},
year={2013},
volume={E96-A},
number={2},
pages={649-657},
abstract={Many people have faced mortal risks due to sudden disasters such as earthquakes, fires, and terrorisms, etc. In disasters where most people become panic, it is important to grasp disaster positions immediately and to find out some appropriate evacuation routes. We previously proposed the specific evacuation support system named as Emergency Rescue Evacuation Support System (ERESS). ERESS is based on Mobile Ad-hoc network (MANET) and aims to reduce the number of victims in panic-type disasters. This system consists of mobile terminals with advanced disaster recognition algorithm and various sensors such as acceleration, angular velocity and earth magnetism. However, the former ERESS did not have the clear criteria to detect the disaster outbreak. In this paper, we propose a new disaster recognition algorithm by Support Vector Machine (SVM) which is a kind of machine learning. In this method, an ERESS mobile terminal learns the behaviors of its holder by SVM. The SVM acquires the decision boundary based on the sensing data of the terminal holder, and it is judged whether to be the emergency. We show the validity of the proposed method by panic-type experiments.},
keywords={},
doi={10.1587/transfun.E96.A.649},
ISSN={1745-1337},
month={February},}

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TY - JOUR
TI - Development of Emergency Rescue Evacuation Support System (ERESS) in Panic-Type Disasters: Disaster Recognition Algorithm by Support Vector Machine
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 649
EP - 657
AU - Kazuya MORI
AU - Akinori YAMANE
AU - Youhei HAYAKAWA
AU - Tomotaka WADA
AU - Kazuhiro OHTSUKI
AU - Hiromi OKADA
PY - 2013
DO - 10.1587/transfun.E96.A.649
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E96-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2013
AB - Many people have faced mortal risks due to sudden disasters such as earthquakes, fires, and terrorisms, etc. In disasters where most people become panic, it is important to grasp disaster positions immediately and to find out some appropriate evacuation routes. We previously proposed the specific evacuation support system named as Emergency Rescue Evacuation Support System (ERESS). ERESS is based on Mobile Ad-hoc network (MANET) and aims to reduce the number of victims in panic-type disasters. This system consists of mobile terminals with advanced disaster recognition algorithm and various sensors such as acceleration, angular velocity and earth magnetism. However, the former ERESS did not have the clear criteria to detect the disaster outbreak. In this paper, we propose a new disaster recognition algorithm by Support Vector Machine (SVM) which is a kind of machine learning. In this method, an ERESS mobile terminal learns the behaviors of its holder by SVM. The SVM acquires the decision boundary based on the sensing data of the terminal holder, and it is judged whether to be the emergency. We show the validity of the proposed method by panic-type experiments.
ER -