Title :
Towards Qualitative Positioning for Pervasive Environments
Author :
Anderson, Ian ; Muller, Henk
Author_Institution :
Dept. of Comput. Sci., Bristol Univ.
Abstract :
In this paper, we present a strategy and set of algorithms for developing qualitative positioning services that are specifically optimised for the environment where they are to be deployed. We argue that for many context-aware applications, this may be more appropriate than more common quantitative location systems, where the positioning API may make unrealistic demands on the underlying measurement service, and unrealistic promises to the application. We show results for an implementation on a shopping street using cellular networks
Keywords :
ubiquitous computing; API; context-aware application; location fingerprinting; machine learning; pervasive environment; qualitative positioning service; quantitative location system; wireless network; Calibration; Context modeling; Context-aware services; Fingerprint recognition; Land mobile radio cellular systems; Machine learning; Position measurement; System performance; Ultrasonic variables measurement; Wireless networks; Context-Aware Computing; Location Fingerprinting; Machine Learning; Wireless Networks;
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1630033
