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DC Field | Value | Language |
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dc.citation.number | 2 | - |
dc.citation.startPage | 04015011 | - |
dc.citation.title | JOURNAL OF COMPUTING IN CIVIL ENGINEERING | - |
dc.citation.volume | 30 | - |
dc.contributor.author | Yoon, Hyungchul | - |
dc.contributor.author | Shiftehfar, Reza | - |
dc.contributor.author | Cho, Soojin | - |
dc.contributor.author | Spencer, Billie F., Jr. | - |
dc.contributor.author | Nelson, Mark E. | - |
dc.contributor.author | Agha, Gul | - |
dc.date.accessioned | 2023-12-22T00:07:42Z | - |
dc.date.available | 2023-12-22T00:07:42Z | - |
dc.date.created | 2016-04-04 | - |
dc.date.issued | 2016-03 | - |
dc.description.abstract | In minor to moderate natural and man-made disasters, such as earthquakes and fires, people may be trapped inside buildings and hurt by the disaster. Considering that trapped victims may be unconscious, there is a high demand by emergency responders to get information on the locations and physical statuses of trapped victims inside a building during a disaster. In this paper, a smartphone-based, in-building emergency response assistance system, named iRescue, is presented. The system is comprised of two subsystems: a Victim Positioning System (VPS) and a Victim Assessment System (VAS). The VPS uses the received signal strength indicator of Wi-Fi signals from multiple wireless access points with referencing a pre-established Wi-Fi fingerprinting map of a building. The VAS uses patterns obtained from measured 3D acceleration changes by status of a victim. A Naive Bayes classifier is employed for both VPS and VAS: for localization in between the fingerprinting map and for recognition of activities to be used for status assessment. The performance of the VPS has been validated by a localization test on a complex building. The VAS has been validated by activity simulation test with five people and real-time monitoring of a person equipped with an activity recording device. (C) 2015 American Society of Civil Engineers | - |
dc.identifier.bibliographicCitation | JOURNAL OF COMPUTING IN CIVIL ENGINEERING, v.30, no.2, pp.04015011 | - |
dc.identifier.doi | 10.1061/(ASCE)CP.1943-5487.0000483 | - |
dc.identifier.issn | 0887-3801 | - |
dc.identifier.scopusid | 2-s2.0-84959017416 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/18917 | - |
dc.identifier.url | http://ascelibrary.org/doi/10.1061/%28ASCE%29CP.1943-5487.0000483 | - |
dc.identifier.wosid | 000371690400015 | - |
dc.language | 영어 | - |
dc.publisher | ASCE-AMER SOC CIVIL ENGINEERS | - |
dc.title | Victim Localization and Assessment System for Emergency Responders | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications; Engineering, Civil | - |
dc.relation.journalResearchArea | Computer Science; Engineering | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Disaster rescue | - |
dc.subject.keywordAuthor | Emergency response | - |
dc.subject.keywordAuthor | Indoor localization | - |
dc.subject.keywordAuthor | Activity recognition | - |
dc.subject.keywordAuthor | Naive Bayes classifier | - |
dc.subject.keywordAuthor | Smartphone | - |
dc.subject.keywordPlus | INDOOR LOCALIZATION | - |
dc.subject.keywordPlus | RECOGNITION | - |
dc.subject.keywordPlus | SMARTPHONE | - |
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