The Journal of Supercomputing

, Volume 54, Issue 1, pp 61–81 | Cite as

u-BabSang: a context-aware food recommendation system

Article

Abstract

In this paper, we propose a context-aware food recommendation system for well-being care applications. The proposed system, called u-BabSang, provides individualized food recommendation lists at the dining table, and is based dietary advice in the typical Korean medical text. Our proposed system receives a user’s profile, physiological signals, and environmental information around the dining table in real time. To operate our system, we present a method for user specified analysis, and also describe time-division layered context integration which integrates the multiple contexts obtained from the sensors. Thus, our system recommends appropriate foods for each individual’s health at the table in real time.

Keywords

Context-awareness Context integration Personalized food recommendation Well-being care applications 

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.GIST U-VR Lab.GwangjuS. Korea

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