computervisionfordietaryassessment chia fang chung alejandra ramos pei ni chiang cfchung iu edu case western reserve university indiana university bloomington indiana university bloomington usa bloomington indiana usa bloomington indiana usa axr738 ...
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...Computervisionfordietaryassessment chia fang chung alejandra ramos pei ni chiang cfchung iu edu case western reserve university indiana bloomington usa axr pechia chien chunwu connie ann tan weslie khoo chiewu cotan weskhoo david crandall djcran abstract of data allowing people to monitor their physical activity heart automated visual recognition food from smartphone cameras rate sleep quality blood glucose etc mobile devices could also be a powerful tool for assisting track eat help choices by having quickly ing behaviors existing work in computer vision has focused on photographmealsandthenusingcomputervisiontoautomatically coarse grained classification typically idealized im identify relevant dietary information taking photos not only ages collected the web which may reflect challenges reduces burden keeping diaries but provides real world foods or despite advancements social support pursuit healthy eating goals when shared over last few years error rates these media addition contai...