TY - GEN
T1 - Can mobile augmented reality systems assist in portion estimation? A user study
AU - Stütz, T.
AU - Dinic, R.
AU - Domhardt, M.
AU - Ginzinger, S.
N1 - Conference code: 108855
Cited By :18
Export Date: 14 December 2023
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PY - 2014
Y1 - 2014
N2 - 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. © 2014 IEEE.
AB - 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. © 2014 IEEE.
KW - - [J.3]: Computer Applications - Life and medical SciencesHealth
KW - H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems - Artificial, augmented, and virtual realities
KW - I [Computer Graphics]:
KW - Augmented reality
KW - Nutrition
KW - Camera images
KW - Estimation approaches
KW - H.5.1 [Information interfaces and presentation]: Multimedia Information Systems Artificial , augmented , and virtual realities
KW - Mobile augmented reality
KW - Nutrition assessments
KW - Nutrition informations
KW - Volume estimations
KW - Medical information systems
U2 - 10.1109/ISMAR-AMH.2014.6935438
DO - 10.1109/ISMAR-AMH.2014.6935438
M3 - Conference contribution
SP - 51
EP - 57
BT - 2014 IEEE International Symposium on Mixed and Augmented Reality - Media, Art, Social Science, Humanities and Design (ISMAR-MASH'D)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2014
Y2 - 10 September 2014 through 12 September 2014
ER -