Using Low-Cost Sensing to Support Nutritional Awareness
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
MPTrain: a mobile, music and physiology-based personal trainer
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
The diet-aware dining table: observing dietary behaviors over a tabletop surface
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Analysis of chewing sounds for dietary monitoring
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
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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.