Abstract
This paper presents an Android system to support eyes-free, hands-free navigation through a city. The system operates in two distinct modes: manual and automatic. In manual, a human operator sends text messages which are realized via TTS into the subject’s earpiece. The operator sees the subject’s GPS position on a map, hears the subject’s speech, and sees a 1 fps movie taken from the subject’s phone, worn as a necklace. In automatic mode, a programmed controller attempts to achieve the same guidance task as the human operator.
We have fully built our manual system and have verified that it can be used to successfully guide pedestrians through a city. All activities are logged in the system into a single, large database state. We are building a series of automatic controllers which require us to confront a set of research challenges, some of which we briefly discuss in this paper. We plan to demonstrate our work live at NLDB.
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References
Minock, M., Mollevik, J., Åsander, M.: Towards an active database platform for guiding urban pedestrians. Technical Report UMINF-12.18, Umeå University (2012), https://www8.cs.umu.se/research/uminf/index.cgi?year=2012&number=18
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© 2013 Springer-Verlag Berlin Heidelberg
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Minock, M., Mollevik, J., Åsander, M., Karlsson, M. (2013). A Test-Bed for Text-to-Speech-Based Pedestrian Navigation Systems. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2013. Lecture Notes in Computer Science, vol 7934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38824-8_47
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DOI: https://doi.org/10.1007/978-3-642-38824-8_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38823-1
Online ISBN: 978-3-642-38824-8
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