[Back]

A. Kealy, M. Duckham, G. Retscher, G. Roberts, S. Winter:
"Location Information Taxonomy for Location Based Services";
Talk: 6th International Symposium on Mobile Mapping Technology, Presidente Prudente, Sao Paolo, Brazil; 2009-07-21 - 2009-07-24; in: "6th International Symposium on Mobile Mapping Technology", (2009), 8 pages.

The proliferation of location based services (LBS) in development or use across various sectors of society has drawn increased attention to the performance capabilities of the technologies and processing techniques used to provide position or location information. Where positioning performance has traditionally centred and been evaluated around the accuracy requirements of individual applications, other performance characteristics such as availability and usability are emerging as equally if not more important. This paper presents the results of a study conducted to review the relationships between the performance capabilities of indoor positioning technologies, the algorithms used to integrate measurements from these technologies and the spatial cognition tools used to improve the relevance of the position information provided to the user. In this study, an innovative taxonomy that classifies location responses from typical LBS into characteristics associated with the location information and those associated with the generation of this information has been developed. Relationships within the taxonomy are verified through the results of a practical study.