EatAR Tango: Results on the Accuracy of Portion Estimation

2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)(2017)

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摘要
Nutrition is an important factor in the prevention and treatment of many diseases. Nutrition is a key factor for obesity, which is a risk factor for cardio-vascular diseases, type-2 diabetes and even cancer. Many non-communicable diseases require patients to keep track of nutrition accurately. Diabetes type-2 and type-1 require tracking carbohydrate intake accurately. However, keeping track and even determining nutrition information in everyday life is not an easy task and support for patients is needed. Recently, mobile devices with depth sensors have been available to the consumer market and apps using this new technology for nutrition assess-ment have been proposed (EatAR Tango). In this work, we pre-sent first results on the accuracy achieved by users with the EatAR Tango app. The user study had 16 participants which used the app to assess the nutrition information of three different por-tions of rice.
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关键词
Augmented reality, mobile, portion estimation
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