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Energy Efficient Geo-Localization for a Wearable Device

Martinsson, William LU and Bagge, Robert LU (2015) In LU-CS-EX 2015-28 EDA920 20142
Department of Computer Science
Abstract
During the last decade there has been a surge of smart devices on markets around the world. The latest trend is devices that can be worn, so called wearable devices. As for other mobile devices, effective localization are of great interest for many different applications of these devices. However they are small and usually set a high demand on energy efficiency, which makes traditional localization techniques unfeasible for them to use.

In this thesis we investigate and succeed in providing a localization solution for a wearable camera that is both accurate and energy efficient. Localization is done through a combination of Wi-Fi and GPS positioning with a mean accuracy of 27 m. Furthermore we utilize an activity recognition algorithm... (More)
During the last decade there has been a surge of smart devices on markets around the world. The latest trend is devices that can be worn, so called wearable devices. As for other mobile devices, effective localization are of great interest for many different applications of these devices. However they are small and usually set a high demand on energy efficiency, which makes traditional localization techniques unfeasible for them to use.

In this thesis we investigate and succeed in providing a localization solution for a wearable camera that is both accurate and energy efficient. Localization is done through a combination of Wi-Fi and GPS positioning with a mean accuracy of 27 m. Furthermore we utilize an activity recognition algorithm with data from an accelerometer to decide when a new position estimate should be obtained. Our evaluation of the algorithm shows that by applying this method, 83.2 % of the position estimates can be avoided with an insignificant loss in accuracy. (Less)
Please use this url to cite or link to this publication:
author
Martinsson, William LU and Bagge, Robert LU
supervisor
organization
alternative title
A Study On How To Combine Periodically Awoken Sensors to Produce an Accurate and Energy Efficient Geo-Localization Algorithm For a Wearable Device
course
EDA920 20142
year
type
H3 - Professional qualifications (4 Years - )
subject
keywords
Activity Recognition, GPS, Wi-Fi, Accelerometer, Energy Efficient, Localization
publication/series
LU-CS-EX 2015-28
report number
LU-CS-EX 2015-28
ISSN
1650-2884
language
English
id
7451352
date added to LUP
2015-06-29 09:44:11
date last changed
2016-07-01 04:09:11
@misc{7451352,
  abstract     = {During the last decade there has been a surge of smart devices on markets around the world. The latest trend is devices that can be worn, so called wearable devices. As for other mobile devices, effective localization are of great interest for many different applications of these devices. However they are small and usually set a high demand on energy efficiency, which makes traditional localization techniques unfeasible for them to use.

In this thesis we investigate and succeed in providing a localization solution for a wearable camera that is both accurate and energy efficient. Localization is done through a combination of Wi-Fi and GPS positioning with a mean accuracy of 27 m. Furthermore we utilize an activity recognition algorithm with data from an accelerometer to decide when a new position estimate should be obtained. Our evaluation of the algorithm shows that by applying this method, 83.2 % of the position estimates can be avoided with an insignificant loss in accuracy.},
  author       = {Martinsson, William and Bagge, Robert},
  issn         = {1650-2884},
  keyword      = {Activity Recognition,GPS,Wi-Fi,Accelerometer,Energy Efficient,Localization},
  language     = {eng},
  note         = {Student Paper},
  series       = {LU-CS-EX 2015-28},
  title        = {Energy Efficient Geo-Localization for a Wearable Device},
  year         = {2015},
}