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UM
2009
Springer
13 years 11 months ago
Predicting Customer Models Using Behavior-Based Features in Shops
Abstract. Recent sensor technologies have enabled the capture of users’ behavior data. Given the large amount of data currently available from sensor-equipped environments, it is...
Junichiro Mori, Yutaka Matsuo, Hitoshi Koshiba, Ke...
SMC
2010
IEEE
242views Control Systems» more  SMC 2010»
13 years 3 months ago
Analysis of shopping behavior based on surveillance system
—Closed Circuit Television systems in shopping malls could be used to monitor the shopping behavior of people. From the tracked path, features can be extracted such as the relati...
Mirela Popa, Léon J. M. Rothkrantz, Zhenke ...
IUI
2005
ACM
13 years 10 months ago
Building intelligent shopping assistants using individual consumer models
This paper describes an Intelligent Shopping Assistant designed for a shopping cart mounted tablet PC that enables individual interactions with customers. We use machine learning ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
CMOT
2010
203views more  CMOT 2010»
13 years 2 months ago
A Bayesian approach to modeling lost person behaviors based on terrain features in Wilderness Search and Rescue
: In Wilderness Search and Rescue (WiSAR), the incident commander (IC) creates a probability distribution map of the likely location of the missing person. This map is important be...
Lanny Lin, Michael A. Goodrich
CHI
2009
ACM
14 years 5 months ago
Predicting shoppers' interest from social interactions using sociometric sensors
Marketing research has longed for better ways to measure consumer behavior. In this paper, we explore using sociometric data to study social behaviors of group shoppers. We hypoth...
James Begole, Maurice Chu, Oliver Brdiczka, Taemie...