DocumentCode :
3685086
Title :
Modeling of human movement monitoring using Bluetooth Low Energy technology
Author :
G. Mokhtari;Q. Zhang;M. Karunanithi
Author_Institution :
The Australian e-Health Research Center, Digital Productivity Flagship, CSIRO, Australia
fYear :
2015
Firstpage :
5066
Lastpage :
5069
Abstract :
Bluetooth Low Energy (BLE) is a wireless communication technology which can be used to monitor human movements. In this monitoring system, a BLE signal scanner scans signal strength of BLE tags carried by people, to thus infer human movement patterns within its monitoring zone. However to the extent of our knowledge one main aspect of this monitoring system which has not yet been thoroughly investigated in literature is how to build a sound theoretical model, based on tunable BLE communication parameters such as scanning time interval and advertising time interval, to enable the study and design of effective and efficient movement monitoring systems. In this paper, we proposed and developed a statistical model based on Monte-Carlo simulation, which can be utilized to assess impacts of BLE technology parameters in terms of latency and efficiency, on a movement monitoring system, and can thus benefit a more efficient system design.
Keywords :
"Advertising","Monitoring","Mathematical model","Bluetooth","Biomedical monitoring","Indexes","Monte Carlo methods"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319530
Filename :
7319530
Link To Document :
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