Name
Abstract | ||
|---|---|---|
Nowadays with the dispersion of wireless networks, smartphones and diverse related services, different localization techniques have been developed. Global Positioning System (GPS) has a high rate of accuracy for outdoor localization but the signal is not available inside of buildings. Also other existing methods for indoor localization have low accuracy. In addition, they use fixed infrastructure support. In this paper, we present a novel system for indoor localization, which also works well outside. We have developed a mathematical model for estimating location (distance and direction) of a mobile device using wireless technology. Our experimental results on Smartphones (Android and iOS) show good accuracy (an error less than 2.5 meters). We have also used our developed system in asset tracking and complex activity recognition. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/COMPSAC.2013.18 | Computer Software and Applications Conference |
Keywords | Field | DocType |
wireless technology,global positioning system,wireless network,low accuracy,novel system,indoor localization,developed system,different localization technique,outdoor localization,mobile wireless node,good accuracy,wireless sensor networks,android,accuracy,wireless communication,hidden markov models,mobile device,mathematical model,mathematical analysis,gps,real time systems | Wireless network,Wireless,Activity recognition,Android (operating system),Computer science,Real-time computing,Mobile device,Global Positioning System,Asset tracking,Wireless sensor network | Conference |
Citations | PageRank | References |
7 | 0.67 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Md. Osman Gani | 1 | 14 | 2.28 |
| Casey O'Brien | 2 | 37 | 3.91 |
| Sheikh I. Ahamed | 3 | 260 | 25.29 |
| Roger O. Smith | 4 | 16 | 1.62 |