DocumentCode :
3763345
Title :
Real-time PDR based on resource-constrained embedded platform
Author :
Mohd Nazrin Muhammad;Zoran Salcic;Kevin I-Kai Wang
Author_Institution :
Department of Electrical and Computer Engineering, University of Auckland, New Zealand
fYear :
2015
Firstpage :
779
Lastpage :
784
Abstract :
Standalone inertial navigation system (INS) in indoor pedestrian positioning is becoming imminent as the researchers exploit its small form factor and low power requirement. This will result in small-size, low-power wearable devices that are not obtrusive to the users and yet provide sufficiently accurate pedestrian localization and tracking within. At this stage, most of the recent INS-based indoor pedestrian positioning systems still have to interface with other computing machines such as a laptop or smartphone to perform computationally demanding algorithms. Most of the existing techniques operate in off-line and not real-time mode. In this paper, we propose a real-time indoor pedestrian dead-reckoning system based on embedded INS. The results show that our system successfully track the distance travelled by pedestrians up to an error of three percent with a position update interval less than a second.
Keywords :
"Acceleration","Sensors","Real-time systems","Gravity","Computers","Inertial navigation","Performance evaluation"
Publisher :
ieee
Conference_Titel :
Sensing Technology (ICST), 2015 9th International Conference on
Electronic_ISBN :
2156-8073
Type :
conf
DOI :
10.1109/ICSensT.2015.7438502
Filename :
7438502
Link To Document :
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