TY - GEN
T1 - Network-based pedestrian tracking system with densely placed wireless access points
AU - Abe, Ryuta
AU - Shimamura, Junpei
AU - Hayata, Kento
AU - Togashi, Hiroaki
AU - Furukawa, Hiroshi
N1 - Publisher Copyright:
© 2017, Springer International Publishing AG.
PY - 2017
Y1 - 2017
N2 - Demand for care services, especially for children and the elderly, has been increasing. Several GPS-based pedestrian tracking systems have been researched and developed, but GPS cannot provide accurate position estimates in high-rise areas and indoor environments. In order to settle this issue, we propose a pedestrian tracking system that uses Wi-Fi beacons held by target persons and Wi-Fi access points placed widely and densely in a specified area. Target users’ positions are estimated on the basis of probe request signals broadcast by the Wi-Fi beacons. The positioning algorithm is based on proximity detection based on received signal strength. In addition, the proposed method uses a computation time reduction strategy and error reduction techniques. Each target’s trajectory is estimated on the basis of position estimates using several trajectory correction algorithms. Experimental results show that the proposed positioning system can estimate a target’s trajectory with approximately 80% accuracy, with a positioning delay, i.e., time taken to estimate a target’s position, of approximately 2.8s.
AB - Demand for care services, especially for children and the elderly, has been increasing. Several GPS-based pedestrian tracking systems have been researched and developed, but GPS cannot provide accurate position estimates in high-rise areas and indoor environments. In order to settle this issue, we propose a pedestrian tracking system that uses Wi-Fi beacons held by target persons and Wi-Fi access points placed widely and densely in a specified area. Target users’ positions are estimated on the basis of probe request signals broadcast by the Wi-Fi beacons. The positioning algorithm is based on proximity detection based on received signal strength. In addition, the proposed method uses a computation time reduction strategy and error reduction techniques. Each target’s trajectory is estimated on the basis of position estimates using several trajectory correction algorithms. Experimental results show that the proposed positioning system can estimate a target’s trajectory with approximately 80% accuracy, with a positioning delay, i.e., time taken to estimate a target’s position, of approximately 2.8s.
UR - http://www.scopus.com/inward/record.url?scp=85031425844&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-68282-2_6
DO - 10.1007/978-3-319-68282-2_6
M3 - Conference contribution
AN - SCOPUS:85031425844
SN - 9783319682815
T3 - Communications in Computer and Information Science
SP - 82
EP - 96
BT - Information Search, Integration, and Personlization - 11th International Workshop, ISIP 2016, Revised Selected Papers
A2 - Laurent, Dominique
A2 - Spyratos, Nicolas
A2 - Petit, Jean-Marc
A2 - Kotzinos, Dimitris
A2 - Tanaka, Yuzuru
PB - Springer Verlag
T2 - 11th International Workshop on Information Search, Integration, and Personlization, ISIP 2016
Y2 - 1 November 2016 through 4 November 2016
ER -