Browse > Article
http://dx.doi.org/10.12812/ksms.2019.21.4.051

A Study on the Indoor Location Determination using Smartphone Sensor Data For Emergency Evacuation  

Quan, Yu (Yanbian University)
Jang, Jung-Hwan (I-biz Systems)
Jin, Hye-Myeong (Department of industrial Engineering, INHA University)
Jho, Yong-Chul (Korea Port Training Institute Incheon)
Lee, Chang-Ho (Department of industrial Engineering, INHA University)
Publication Information
Journal of the Korea Safety Management & Science / v.21, no.4, 2019 , pp. 51-58 More about this Journal
Abstract
The LBS(Location Based Service) technology plays an important role in reducing wastes of time, losses of human lives and economic losses by detecting the user's location in order by suggesting the optimal evacuation route of the users in case of safety accidents. We developed an algorithm to estimate indoor location, movement path and indoor location changes of smart phone users based on the built-in sensors of smartphones and the dead-reckoning algorithm for pedestrians without a connection with smart devices such as Wi-Fi and Bluetooth. Furthermore, seven different indoor movement scenarios were selected to measure the performance of this algorithm and the accuracy of the indoor location estimation was measured by comparing the actual movement route and the algorithm results of the experimenter(pedestrian) who performed the indoor movement. The experimental result showed that this algorithm had an average accuracy of 95.0%.
Keywords
Location Estimation; Smartphone Sensor; Indoor Evacuation Routes;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. J. Kang(2002), "Gait Analysis Using FSR Sensors and a Miniature Gyroscope." Ergonomics Society of Korea 2002.
2 I. J. Kang(2013), "A control system design using butterworth filter for loss-in-weight feeder." Masters dissertation, Korea University.
3 J. H. Ko(2016), "A Study on the Positioning System Using a Cloud-Based GPS." Doctor's dissertation, Chonnam National University.
4 T. H. Youn(2015), "Butterworth and Chebyshev Windows for Independently Adjustable Resolution and Spectral Leakage." Doctor's dissertation, Kyungpook National University.
5 S. H. Shin(2010), "Pedestrian dead reckoning system with phone location awareness algorithm." Proceedings of IEEE/ION Position, Location and Navigation Symposium.
6 W. Chen(2010), "An Effective Pedestrian Dead Reckoning Algorithm Using a Unified Heading Error Model." Proceedings of IEEE/ION Position, Location and Navigation Symposium.
7 W. Wang, A. X. Liu et al(2015), "Understanding and Modeling of WiFi Signal Based Human Activity Recognition." Proceedings of the 21st Annual International Conference on Mobile Computing and Networking.
8 Z. X. Guo(2015), "An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment." International Journal of Production Economics, 159:16-28.   DOI
9 National Fire Data System in National Fire Agency, http://www.nfds.go.kr/fr_date_0601.jsf
10 Q. Wang(2016), "Design and Implementation of Indoor Positioning System Based on Android." Master's dissertation, Beijing University of Technology, Beijing, China.