Localization and Classification through Adaptive Pathway Analysis

Localization and Classification through Adaptive Pathway Analysis

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.

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Bibliographische Detailangaben
Veröffentlicht in:IEEE pervasive computing 2012-04, Vol.11 (2), p.74-81
Hauptverfasser: Bruns, E., Bimber, O.
Format: Artikel
Sprache:eng
Schlagworte:
Acceptability
Artificial neural networks
Bluetooth
Classification
Clustering algorithms
Guidance systems
Localization
machine learning
mobile applications
Mobile communication
Mobile handsets
mobile phones
museum guidance
Museums
Object recognition
Pathways
person movement prediction
pervasive computing
PhoneGuide
Position (location)
Recognition
spatio-temporal data
Spatiotemporal phenomena
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Beschreibung
Zusammenfassung: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.
ISSN:1536-1268
1558-2590
DOI:10.1109/MPRV.2010.68