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u-BabSang: a context-aware food recommendation system

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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.

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Authors and Affiliations

  1. GIST U-VR Lab., 1 Oryong-dong, Buk-gu, Gwangju, 500-712, S. Korea

    Yoosoo Oh, Ahyoung Choi & Woontack Woo

Authors
  1. Yoosoo Oh
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  2. Ahyoung Choi
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  3. Woontack Woo
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Correspondence to Woontack Woo.

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Oh, Y., Choi, A. & Woo, W. u-BabSang: a context-aware food recommendation system. J Supercomput 54, 61–81 (2010). https://doi.org/10.1007/s11227-009-0314-5

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  • DOI: https://doi.org/10.1007/s11227-009-0314-5

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