Using Low-Cost Sensing to Support Nutritional Awareness
Nutrition has a big impact on health, including major diseases such as heart disease, osteoporosis, and cancer. This paper presents an application designed to help people keep track of the nutrional content of foods they have eaten. Our work uses shopping receipts to generate suggestions about healthier food items that could help to supplement missing nutrients. We present our system design: a capture and access application that, based on shopping receipt data, provides access to ambiguous suggestions for more nutritious purchases. We also report results from one formative user study suggesting that receipts may provide enough information to extend our work by also estimating what people are actually eating, as opposed to simply what they are purchasing.
KeywordsOptical Character Recognition Dietary Reference Intake Shopping Trip Shopping List Optical Character Recognition System
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