DocumentCode :
1299352
Title :
Localization and Classification through Adaptive Pathway Analysis
Author :
Bruns, Erich ; Bimber, Oliver
Author_Institution :
Bauhaus-Univ., Weimar, Germany
Volume :
11
Issue :
2
fYear :
2012
Firstpage :
74
Lastpage :
81
Abstract :
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.
Keywords :
mobile computing; museums; pattern classification; PhoneGuide adaptive mobile museum guidance system; adaptive pathway analysis; classification performance; museum visitors; user-generated spatiotemporal pathway data; Artificial neural networks; Bluetooth; Clustering algorithms; Mobile communication; Mobile handsets; Object recognition; Spatiotemporal phenomena; PhoneGuide; machine learning; mobile applications; mobile phones; museum guidance; pathways.; person movement prediction; pervasive computing; spatio-temporal data;
fLanguage :
English
Journal_Title :
Pervasive Computing, IEEE
Publisher :
ieee
ISSN :
1536-1268
Type :
jour
DOI :
10.1109/MPRV.2010.68
Filename :
5551110
Link To Document :
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