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Augmented satiety: interactive nutritional intake controller

Published: 28 November 2012 Publication History

Abstract

The goal of our project is to decrease rates of obesity by affecting our eating behavior implicitly by using human computer interaction techniques. Obesity has become a serious public health concern all over the world. It increases the risk of many medical conditions, both physical and mental. Obesity risk can be decreased through limiting food intake and exercising.

References

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N. Koizumi, H. Tanaka, Y. Uema and M. Inami. 2011. Chewing jockey: augmented food texture by using sound based on the cross-modal effect. In Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology (ACE2011), 21:1--4.
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J. Maitland and M. Chalmers. 2011. Designing for peer involvement in weight management. In Proceedings of the 2011 annual conference on Human factors in computing systems (CHI '11), pp. 315--324.
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T. Narumi, S. Nishizaka S, T. Kajinami, T. Tanikawa and M. Hirose. 2011. Augmented Reality Flavors: Gustatory Display Based on Edible Marker and Cross-Modal Interaction. In Proceedings of the 2011 annual conference on Human factors in computing systems (CHI '11), pp. 93--102.
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T. Narumi, Y. Ban, T. Kajinami, T. Tanikawa and M. Hirose. 2012. Augmented Perception of Satiety: Controlling Food Consumption by Changing Apparent Size of Food with Augmented Reality. In Proceedings of the 2012 annual conference on Human factors in computing systems (CHI '12), pp. 109--118.
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B. J. Rolls, L. S. Roe, T. V. E. Kral, J. S. Meengs and D. E. Wall. 2004. Increasing the portion size of a packaged snack increases energy intake in men and women. Appetite, Vol. 42 Issue 1, pp. 63--69.
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S. Schaefer, T. McPhail and J. Warren. 2006. Image deformation using moving least squares. ACM Transactions on Graphics 25, 3, pp. 533--540.
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B. Wansink. 2004. Environmental Factors that Increase the Food Intake and Consumption Volume of Unknowing Consumers, Annual Review of Nutrition, Volume 24, pp. 455--479.

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  • (2015)Quantitative analysys of pseudo-haptics based on three types of hand form and two phases of perception2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)10.1109/ICMEW.2015.7169762(1-6)Online publication date: Jun-2015

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        cover image ACM Conferences
        SA '12: SIGGRAPH Asia 2012 Emerging Technologies
        November 2012
        67 pages
        ISBN:9781450319126
        DOI:10.1145/2407707
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        New York, NY, United States

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        Published: 28 November 2012

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        SA '12: SIGGRAPH Asia 2012
        November 28 - December 1, 2012
        Singapore, Singapore

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        • (2015)Quantitative analysys of pseudo-haptics based on three types of hand form and two phases of perception2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)10.1109/ICMEW.2015.7169762(1-6)Online publication date: Jun-2015

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