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ISMAR 2014 - Sep 10-12 - Munich, Germany

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Can mobile augmented reality systems assist in portion estimation? A user study.

SCHEDULE INFORMATION

Event TitleSession TitleChairRoomStartEnd
MASHD: Theory and EvaluationMASH'D: Theory and EvaluationHenry Duh, HITLab AU, University of TasmaniaHS312 Sep, 2014 02:00 PM12 Sep, 2014 03:30 PM
Authors: 
Thomas Stütz
Authors: 
Radomir Dinic
Authors: 
Michael Domhardt
Authors: 
Simon Ginzinger
Abstract: 
Accurate assessment of nutrition information is an important part in the prevention and treatment of a multitude of diseases, but remains a challenging task. We present a novel mobile augmented reality application, which assists users in the nutrition assessment of their meals. Using the realtime camera image as a guide, the user overlays a 3D form of the food. Additionally the user selects the food type. The corresponding nutrition information is automatically computed. Thus accurate volume estimation is required for accurate nutrition information assessment. This work presents an evaluation of our mobile augmented reality approaches for portion estimation and offers a comparison to conventional portion estimation approaches. The comparison is performed on the basis of a user study (n=28). The quality of nutrition assessment is measured based on the error in energy units. In the results of the evaluation one of our mobile augmented reality approaches significantly outperforms all other methods. Additionally we present results on the efficiency and effectiveness of the approaches.

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