| Presentation | 2013-10-18 Development of State Judgment Algorithm for Real-time Disaster Detection in Emergency Rescue Evacuation Support System (ERESS) Jun FUJIMURA, Takafumi NAKAMURA, Hiroko HIGUCHI, Katsunori KOGO, Kentaro TSUDAKA, Tomotaka WADA, Kazuhiro OTSUKI, Hiromi OKADA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | If the disaster (ex. terror and fire) occurs, a lot of people can`t be calm judgment in the buildings of urban areas, stations and schools. Typically, living or death is determined by evacuation method less than one minute. The authors are presented to evacuees; 1) The evacuation behavior is collected by sensors, 2) Evacuees exchange and share sensor information by ad-hoc communications, 3) Automatically detection of a disaster, 4) Calculation of the appropriate escape route, 5) Voice and screen display. We have been developing ERESS to achieve fully automatic evacuation within one minute after the disaster outbreak. The conventional method, was judging people either normal or danger using the SVM (Support Vector Machine) from the acceleration sensor data. However, behavior classification rate of people is about 60% at best in this method.In this paper, we propose a new method using the angular velocity in addition to the acceleration. We find it can detect more detailed behavior of people in disaster. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | disaster / angular velocity sensor / behavior analysis / machine learning / Support Vector Machine / ERESS |
| Paper # | IN2013-84 |
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| Committee | IN |
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| Conference Date | 2013/10/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information Networks (IN) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development of State Judgment Algorithm for Real-time Disaster Detection in Emergency Rescue Evacuation Support System (ERESS) |
| Sub Title (in English) | |
| Keyword(1) | disaster |
| Keyword(2) | angular velocity sensor |
| Keyword(3) | behavior analysis |
| Keyword(4) | machine learning |
| Keyword(5) | Support Vector Machine |
| Keyword(6) | ERESS |
| 1st Author's Name | Jun FUJIMURA |
| 1st Author's Affiliation | Kansai University() |
| 2nd Author's Name | Takafumi NAKAMURA |
| 2nd Author's Affiliation | Kansai University |
| 3rd Author's Name | Hiroko HIGUCHI |
| 3rd Author's Affiliation | Kansai University |
| 4th Author's Name | Katsunori KOGO |
| 4th Author's Affiliation | Kansai University |
| 5th Author's Name | Kentaro TSUDAKA |
| 5th Author's Affiliation | Kansai University |
| 6th Author's Name | Tomotaka WADA |
| 6th Author's Affiliation | Kansai University |
| 7th Author's Name | Kazuhiro OTSUKI |
| 7th Author's Affiliation | Kobe University |
| 8th Author's Name | Hiromi OKADA |
| 8th Author's Affiliation | Kansai University |
| Date | 2013-10-18 |
| Paper # | IN2013-84 |
| Volume (vol) | vol.113 |
| Number (no) | 245 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |