By Karl Rehrl, Elisabeth Häusler, Renate Steinmann, Sven Leitinger, Daniel Bell (auth.), Georg Gartner, Felix Ortag (eds.)
This e-book provides a normal photograph of research-driven actions relating to place and map-based prone. The interdisciplinary personality of the subject results in numerous contributions with backgrounds from academia to company and from machine technological know-how to geodesy. whereas cartography is aiming at effective verbal exchange of spatial details, the advance and availability of applied sciences like cellular networking, cellular units or short-range sensors result in fascinating new chances of attaining this target. by means of attempting to utilize the to be had applied sciences, quite a few similar disciplines appears particularly at user-centered and context-aware process improvement, specially in wayfinding and navigation systems.
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Extra info for Advances in Location-Based Services: 8th International Symposium on Location-Based Services, Vienna 2011
And Laakso, K. (2005) Presenting route instructions on mobile devices: From textual directions to 3D visualization. Exploring Geovisualization, Elsevier, 529–550 Darken, R. P. and B. Peterson (2002) Spatial orientation, wayfinding and representation. Handbook of Virtual Environment Technology. Lawrence Erlbaum Associates Dillemuth, J. (2005) Map Design Evaluation for Mobile Display. Cartography and Geographic Information Science 32, 285–301 Gartner, G. and Radoczky, V. (2007) About the Role of Cartographic Presentation for Wayfinding.
Nokia has launched a project towards so-called hyperlinked reality applications (MARA 2006, Che et al. 2007) that associate multimedia content with geographic locations, can serve as mobile guides for cultural heritage, education, sightseeing and geo-caching or raise public awareness by informing about emergencies and infrastructure deficiencies on-site. MARFT has the objective to enable a maximally precise, image based estimation of orientation in rural areas. Currently, mobile image based services have actually been designed for urban environments but may serve in the function of a search key for rural areas as well.
The physical constraints are delimited by a user’s location, and form of transportation, which is automatically detected through the use of a decision tree followed by a discrete Hidden Markov Model. We defined a decision-making model, which considers the learned preferences, physical constraints and how the individual is currently feeling. Our recommendation algorithm is based on a text classification problem. The detection of the form of transportation and the user interface was implemented on the Nokia N900 phone, the recommendation algorithm was implemented on a server which communicates with the phone.
Advances in Location-Based Services: 8th International Symposium on Location-Based Services, Vienna 2011 by Karl Rehrl, Elisabeth Häusler, Renate Steinmann, Sven Leitinger, Daniel Bell (auth.), Georg Gartner, Felix Ortag (eds.)