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A Privacy-Respecting Indoor Localization Approach for Identifying Shopper Paths by Using End-Users Mobile Devices

Bourimi, Mohamed, Mau, G., Steinmann, S., Klein, D., Templin, S., Kesdogan, Dogan and Schramm-Klein, H. (2011) A Privacy-Respecting Indoor Localization Approach for Identifying Shopper Paths by Using End-Users Mobile Devices. In: Eighth International Conference on Information Technology: New Generations (ITNG), Las Vegas, NV, 11-13 April 2011. IEEE, pp. 139-144. ISBN 978-1-61284-427-5, 978-0-7695-4367-3 (online).

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Abstract

An established way to analyze shoppers' behavior at the point of sale consists of identifying their paths through the store as well as their approach behavior towards different shelves. Such proceeding allows e.g. for optimizing product placements or in-store advertising and guidance. Since there is a technological challenge in doing this inside the respective locations, there is a need for ...

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Item type:Book section
Date:2011
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik IV (Prof. Dr. Doğan Kesdoğan)
Identification Number:
ValueType
10.1109/ITNG.2011.32DOI
Related URLs:
URLURL Type
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5945222&abstractAccess=no&userType=instPublisher
Dewey Decimal Classification:300 Social sciences > 330 Economics
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Item ID:28471
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