Abstract
Mobile phones have become ubiquitous in daily life. They are also becoming more powerful with more computation and a variety of sensors embedded in them. We have built deSCribe, a context-aware phone-based navigational aid. The application provides turn-by-turn directions from the user’s current location to a requested destination. It provides information about the surroundings by processing the images taken by the camera on the phone. It enables a novel user interface with the ability of using the phone as a remote to point at buildings to get further information about a particular floor within the building. Lastly, the application uses user feedback to control how much information is presented to the user.
This work was supported in part by NSF grant CCR-0120778 (CENS: Center for Embedded Networked Sensing), and by a gift from the Okawa Foundation. It was initiated as a project for the graduate course CS 546: Intelligent Embedded Systems taught at USC in Spring 2009.
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Kota, D. et al. (2010). deSCribe: A Personalized Tour Guide and Navigational Assistant . In: Phan, T., Montanari, R., Zerfos, P. (eds) Mobile Computing, Applications, and Services. MobiCASE 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12607-9_30
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DOI: https://doi.org/10.1007/978-3-642-12607-9_30
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