A Wearable Nutrition Monitoring System

A Wearable Nutrition Monitoring System. Kalantarian, H., Alshurafa, N., & Sarrafzadeh, M. In Proceedings of the International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2014.

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Maintaining appropriate levels of food intake anddeveloping regularity in eating habits is crucial to weight lossand the preservation of a healthy lifestyle. Moreover, maintainingawareness of one's own eating habits is an important steptowards portion control and ultimately, weight loss. Though manysolutions have been proposed in the area of physical activitymonitoring, few works attempt to monitor an individual's foodintake by means of a noninvasive, wearable platform. In thispaper, we introduce a novel nutrition-intake monitoring systembased around a wearable, mobile, wireless-enabled necklacefeaturing an embedded piezoelectric sensor. We also propose aframework capable of estimating volume of meals, identifyinglong-term trends in eating habits, and providing classificationbetween solid foods and liquids with an F-Measure of 85% and 86% respectively. The data is presented to the user in the formof a mobile application.

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 type = {inProceedings},
 year = {2014},
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 abstract = {Maintaining appropriate levels of food intake anddeveloping regularity in eating habits is crucial to weight lossand the preservation of a healthy lifestyle. Moreover, maintainingawareness of one's own eating habits is an important steptowards portion control and ultimately, weight loss. Though manysolutions have been proposed in the area of physical activitymonitoring, few works attempt to monitor an individual's foodintake by means of a noninvasive, wearable platform. In thispaper, we introduce a novel nutrition-intake monitoring systembased around a wearable, mobile, wireless-enabled necklacefeaturing an embedded piezoelectric sensor. We also propose aframework capable of estimating volume of meals, identifyinglong-term trends in eating habits, and providing classificationbetween solid foods and liquids with an F-Measure of 85% and 86% respectively. The data is presented to the user in the formof a mobile application.},
 bibtype = {inProceedings},
 author = {Kalantarian, Haik and Alshurafa, Nabil and Sarrafzadeh, Majid},
 booktitle = {Proceedings of the International Conference on Wearable and Implantable Body Sensor Networks (BSN)}
}

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