Localization and Classification through Adaptive Pathway Analysis

E. Bruns; Oliver Bimber

doi:10.1109/MPRV.2010.68

Localization and Classification through Adaptive Pathway Analysis

E. Bruns
, Oliver Bimber

Institute of Computer Graphics

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	5551110
Pages (from-to)	74-81
Number of pages	8
Journal	IEEE Pervasive Computing
Volume	11
Issue number	2
DOIs	https://doi.org/10.1109/MPRV.2010.68
Publication status	Published - Apr 2012

Fields of science

102 Computer Sciences
102003 Image processing
102026 Virtual reality

JKU Focus areas

Engineering and Natural Sciences (in general)

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10.1109/MPRV.2010.68

Cite this

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DO - 10.1109/MPRV.2010.68

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Localization and Classification through Adaptive Pathway Analysis

Abstract

Fields of science

JKU Focus areas

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