Authors:
Tobias Gädeke
;
Johannes Schmid
;
Wilhelm Stork
and
Klaus D. Mueller-Glaser
Affiliation:
Karlsruhe Institute of Technology (KIT), Germany
Keyword(s):
Localization, Wireless, Sensor Networks, Person, Pedestrian.
Related
Ontology
Subjects/Areas/Topics:
Ad Hoc Networks
;
Application Domains
;
Applications and Uses
;
Biomedical Engineering
;
Biomedical Instruments and Devices
;
Data Manipulation
;
Distributed and Collaborative Signal Processing
;
Energy Efficiency
;
Energy Efficiency and Green Manufacturing
;
Hardware
;
Health Information Systems
;
Healthcare
;
Industrial Engineering
;
Informatics in Control, Automation and Robotics
;
MEMS
;
Multi-Sensor Data Processing
;
Obstacles
;
Sensor Data Fusion
;
Sensor Networks
;
Signal Processing
;
Simulation and Modeling
;
Well-Being and Well-Working
;
Wireless Information Networks
Abstract:
The problem of localization and navigation in areas without any or with only limited access to global navigation satellite systems (GNSS) is still not solved. This is especially the case for person localization applications as persons tend to spend a good part of their time in buildings or in cities (urban canyons). One possibility to approach this issue is to use wireless sensor network (WSN) technology. Especially scenarios that require ad-hoc person localization like firefighters that enter a burning building or similar setups, WSN seem to be a promising solution. However, if the node density is low or if the scenario also requires localization in uncovered areas, an additional localization method is required. Pedestrian dead reckoning (PDR) is an ideal complementary method to achieve short term accurate localization under these assumptions. In this paper, an approach to PDR with low processing power for the use in WSN with a hip mounted inertial measurement unit (IMU) is presente
d. The purpose of the system is to provide a localization and tracking solution if temporarily none or only few anchor nodes are within communication range. This is achieved by detecting steps, estimating the length of each step and determining the step direction in WSN coordinates. We experimentally evaluate the system under varying environmental conditions and show that the concept is a promising solution for the intended applications.
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