This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Localization and Classification through Adaptive Pathway Analysis
April-June 2012 (vol. 11 no. 2)
pp. 74-81
Erich Bruns, Bauhaus-University, Weimar, Germany
Oliver Bimber, Johannes Kepler University, Linz, Austria

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.

1. G. Fritz, C. Seifert, and L. Paletta, "A Mobile Vision System for Urban Detection with Informative Local Descriptors," Proc. Computer Vision Systems, IEEE CS Press, 2006, p. 30.
2. J.S. Hare and P.H. Lewis, "Content-Based Image Retrieval Using a Mobile Device as a Novel Interface," Proc. Storage and Retrieval Methods and Applications for Multimedia, SPIE, 2004, pp. 64–75.
3. G. Takacs et al., "Outdoor Augmented Reality on Mobile Phone Using Loxel-Based Visual Feature Organization," Proc. Multimedia Information Retrieval, ACM, 2008, pp. 427–434.
4. N. Ravi et al., "Accessing Ubiquitous Services Using Smart Phones," Proc. Third IEEE Int'l Conf. Pervasive Computing and Communications, IEEE CS Press, 2005, pp. 383–393.
5. E. Bruns and O. Bimber, "Adaptive Training of Video Sets for Image Recognition on Mobile Phones," J. Personal and Ubiquitous Computing, vol. 13, no. 2, 2008, pp. 165–178.
6. E. Bruns, B. Brombach, and O. Bimber, "Mobile Phone-Enabled Museum Guidance with Adaptive Classification," IEEE Computer Graphics and Applications, vol. 28, no. 4, 2008, pp. 98–102.
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.
1. S.K. Das et al., "The Role of Prediction Algorithms in the Mavhome Smart Home Architecture," Wireless Communications, vol. 9, no. 6, 2002, pp. 77–84.
2. 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 .
3. C. Sas, R. Reilly, and Gregory O'Hare, "A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment," Proc. 2nd Workshop on Machine Learning, Information Retrieval and User Modeling, 2003, pp. 40–48; www.cs.rutgers.edu/ml4um/mlirum-2003MLIRUM2003-proceedings.pdf .
4. N. Ravi et al., "Indoor Localization Using Camera Phones," Proc. 7th IEEE Workshop on Mobile Computing Systems & Applications (WMCSA 06), IEEE CS Press, 2006; http://doi.ieeecomputersociety.org/10.1109 WMCSA.2006.31.

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
Usage of this product signifies your acceptance of the Terms of Use.