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Issue No.02 - April-June (2012 vol.11)
pp: 74-81
Erich Bruns , Bauhaus-University, Weimar, Germany
Oliver Bimber , Johannes Kepler University, Linz, Austria
ABSTRACT
<p>Evaluating user-generated spatiotemporal pathway data helps determine both the present and future location of museum visitors. The PhoneGuide adaptive mobile museum guidance system shows how this approach improves classification performance and achieves acceptable recognition rates.</p>
INDEX TERMS
mobile applications, pervasive computing, machine learning, PhoneGuide, museum guidance, mobile phones, person movement prediction, spatio-temporal data, pathways.
CITATION
Erich Bruns, Oliver Bimber, "Localization and Classification through Adaptive Pathway Analysis", IEEE Pervasive Computing, vol.11, no. 2, pp. 74-81, April-June 2012, doi:10.1109/MPRV.2010.68
REFERENCES
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7. L. Vintan et al., "Person Movement Prediction Using Neural Networks," Proc. Workshop on Modeling and Retrieval of Context, 2004; http://sunsite.informatik.rwth-aachen.de/ Publications/CEUR-WS/Vol-114paper9.pdf .
8. L. Liao et al., "Voronoi Tracking: Location Estimation Using Sparse and Noisy Sensor Data," Proc. IEEE/RSJ Int'l Conf. Intelligent Robots and Systems (IROS 03), IEEE Press, 2003, pp. 723–728.
9. E. Bruns et al., "Enabling Mobile Phones to Support Large-Scale Museum Guidance," IEEE MultiMedia, vol. 14, no. 2, 2007, pp. 16–25.
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