Energy Efficient Geo-Localization for a Wearable Device
(2015) In LU-CS-EX 2015-28 EDA920 20142Department 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:
http://lup.lub.lu.se/student-papers/record/7451352
- 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
- 2015
- 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}}, language = {{eng}}, note = {{Student Paper}}, series = {{LU-CS-EX 2015-28}}, title = {{Energy Efficient Geo-Localization for a Wearable Device}}, year = {{2015}}, }