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ReferencesNavigation arrowAuthorsNavigation arrowEric Hysen
May 23

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Eric Hysen

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2011
 
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Noronha, Jon, Hysen, Eric, Zhang, Haoqi and Gajos, Krzysztof Z. (2011): PlateMate: crowdsourcing nutritional analysis from food photographs. In: Proceedings of the 2011 ACM Symposium on User Interface Software and Technology 2011. pp. 1-12.

“We introduce PlateMate, a system that allows users to take photos of their meals and receive estimates of food intake and composition. Accurate awareness of this information can help people monitor their progress towards dieting goals, but current methods for food logging via self-reporting, expert observation, or algorithmic analysis are time-consuming, expensive, or inaccurate. PlateMate crowdsources nutritional analysis from photographs using Amazon Mechanical Turk, automatically coordinating untrained workers to estimate a meal's calories, fat, carbohydrates, and protein. We present the Management framework for crowdsourcing complex tasks, which supports PlateMate's nutrition analysis workflow. Results of our evaluations show that PlateMate is nearly as accurate as a trained dietitian and easier to use for most users than traditional self-reporting.”

© All rights reserved Noronha et al. and/or ACM Press

 
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May 23

“ Knowledge is commonly socially constructed, through collaborative efforts towards shared objectives or by dialogues and challenges brought about by different persons' perspectives. ”

-- G. Salomon (in "Distributed Cognitions: Psychological and Educational Considerations")

 
 

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

 
 

Help us help you!

 
 
 
 
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