Abstract
This paper presents a Wireless Personal Area Network (WPAN) indoor location determination system that adapts to both dynamic physical environmental conditions and human movement changes in order to find estimated user locations and their orientation. This system has been realized using the Sun SPOT sensor platform. This research identifies the challenges when deploying indoor location determination systems based upon a combination of radio signal strength indication (RSSI) and accelerometer measurements of users' mobile terminals. The experimental results show that users' indoor locations can be estimated more precisely and with greater computational efficiency compared to current systems. © 2009 Springer Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Liang, Z., Barakos, I., & Poslad, S. (2009). Indoor location and orientation determination for wireless personal area networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5801 LNCS, pp. 91–105). https://doi.org/10.1007/978-3-642-04385-7_7
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
