Research Article
Object Localization for Determining Customer’s Behavior: Auto-ID Based Approach
@INPROCEEDINGS{10.4108/eai.7-11-2017.2274153, author={Filip Benes and Pavel Stasa and Jiri Svub and Jakub Unucka and Jongtae Rhee and Lukas Vojtech}, title={Object Localization for Determining Customer’s Behavior: Auto-ID Based Approach}, proceedings={14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services}, publisher={ACM}, proceedings_a={MOBIQUITOUS}, year={2018}, month={4}, keywords={auto-id rfid technology customer’s behavior localization}, doi={10.4108/eai.7-11-2017.2274153} }- Filip Benes
Pavel Stasa
Jiri Svub
Jakub Unucka
Jongtae Rhee
Lukas Vojtech
Year: 2018
Object Localization for Determining Customer’s Behavior: Auto-ID Based Approach
MOBIQUITOUS
ACM
DOI: 10.4108/eai.7-11-2017.2274153
Abstract
The paper discusses the possibilities of radio frequency identification technology for identification objects in defined space and thus determine customer’s behavior. This paper aims to analyze current methods of detecting movement and behavior of customer in the store area and to achieve the greatest automation possible with more accurate, faster processes of increased quality. The proposed system will collect a large amount of operational data, one of the objectives will also be to transform this data into information and extract the greatest possible amount of knowledge. The experiments described in this paper demonstrate feasibility and possibility of solution enabling tracking of objects in a given area.
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