Journal of the Korea Safety Management & Science (대한안전경영과학회지)

Korea Safety Management & Science (대한안전경영과학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Guide to Emergency Exit by Tracking Location of Smartphone Users

스마트폰 사용자의 실내 위치 추적을 통한 응급 상황 대피로 안내에 대한 연구

  • Quan, Yu (Department of Industrial Engineering, INHA University) ;
  • Jang, Jung-Hwan (Department of Industrial Engineering, INHA University) ;
  • Jang, Jing-Lun (Department of Industrial Engineering, INHA University) ;
  • Jho, Yong-chul (Korea Port Training Institute Incheon) ;
  • Lee, Chang-Ho (Department of Industrial Engineering, INHA University)
  • 전욱 (인하대학교 산업경영공학과) ;
  • 장정환 (인하대학교 산업경영공학과) ;
  • 장청윤 (인하대학교 산업경영공학과) ;
  • 조용철 (한국항만연수원 인천연수원) ;
  • 이창호 (인하대학교 산업경영공학과)
  • Received : 2018.02.28
  • Accepted : 2018.03.27
  • Published : 2018.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

The rate of fire in buildings is gradually increasing in these days and the damage of property are severely increasing. This study suggests a methodology that provides information of the emergency exits based on indoor location services. The methodology uses determination technology and the latest update of indoor map generation via the built-in sensors of smartphone. This paper enhances the accuracy of indoor localization, and also it is to study how to provide exact indoor layout for rescuing the workers in emergency, such as fires and natural disasters.

Keywords

References

  1. National Fire Agency Fire Data System , "10-Year Fire Statistics", http://www.nfds.go.kr/fr_date_0601.jsf
  2. Yonhapnews, "Patient over 90s has died at Sejong Hospital in Miryang, Updated with a death toll of 49", http://www.yonhapnews.co.kr/bulletin/2018/02/14/0200000000AKR20180214089500052.HTML?input=1195m
  3. Daisuke Taniuchi, Takuya Maekawa(2015), "Automatic Update of Indoor Location Fingerprints with Pedestrian Dead Reckoning", ACM Transactions on Embedded Computing Systems, Vol. 14, No.2.
  4. Do Yun Kim, Lynn Choi(2017), "Correction Algorithm for PDR Performance Improvement through Smartphone Motion Sensors", KIISE Transactions on Computing Practices, Vol. 23. No. 3. pp. 148-155 https://doi.org/10.5626/KTCP.2017.23.3.148
  5. Joakim Skytte(2017), "Feasibility Study of Indoor Positioning in a Hospital Environment using Smartphone Sensors", Master's Thesis, Department of Electrical Engineering, Linkoping University
  6. Eric Andersson(2012), "Motion Classi Cation and Step Length Estimation for GPS/INS Pedestrian Navigation", Master's Thesis, Royal Institute of Technology.
  7. Ubejd Shala, Angel Rodriguez, Fredrik Frisk (2011), "Indoor Positioning using Sensor-fusion in Android Devices", Master's Thesis, Kristianstad University School of Health and Societ Department Computer Science.
  8. Daye Ahn, Rhan HA(2014), "Indoor Localization Methodology Based on Smart Phone in Home Environment", The Journal of Korea Information and Communications Society, Vol.39C, No.04.
  9. Sanghyun Son, Youngjoon Park, Beomjun Kim, Yunju Baek(2013), "WiFi Fingerprint Location Estimation System Based on Reliability", The Korean Institute of Communications and Information Sciences, Vol. 38C, No.06.
  10. Hyunsu Kim, Jimin Bae, Jihoon Choi(2013), "Wireless LAN Based Indoor Positioning Using Received Signal Fingerprint and Propagation Prediction Mode", The Korean Institute of Communications and Information Sciences, Vol. 38A, No.12.
  11. Hae-Seong Kim(2017), "Fingerprint-based Indoor Localization using a Uniformly Positioned Access Point Selection Algorithm in WLAN", Master's Thesis, Computer Engineering of AJou University.
  12. Jung-Hwan Jang(2012), "A Study on Error Reduction of Indoor Location Determination using Triangulation Method and Least Square Method", Master's Thesis, Industrial Engineering of Inha University.
  13. Hamaza Benzerrouk, Alexander Nebylov, Hassen Salhi, Pau Closas(2014), "MEMS IMU/ZUPT Based Cubature Kalman Filter Applied to Pedestrian Navigation System", Conference Proceedings Paoer - Sensors and Applications.
  14. Jooyoung Kim, Sooyong lee,(2012), "Sensor Information Filter for Enhancing the Indoor Pedestrian Localization Accuracy", Korea Robotics Socirty.
  15. Wonho Kang, Youngnam Han, (2015), "SmartPDR:Smartphone-Based Pedestrian Dead Reckoning for Indoor Localization", IEEE Sensors Journal, VOL. 15, No.5.
  16. Moustsfa Alzantot, Moustafa Youssef(2012), " CrowdInside: Automatic Construction of Indoor Floorplans", 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.