Conference Paper

Enabling Calorie-Aware Cooking in a Smart Kitchen

DOI: 10.1007/978-3-540-68504-3_11 Conference: Persuasive Technology, Third International Conference, PERSUASIVE 2008, Oulu, Finland, June 4-6, 2008. Proceedings
Source: DBLP


As a daily activity, home cooking is an act of care for family members. Most family cooks are willing to learn healthy cooking. However, learning healthy cooking knowledge and putting the learned knowledge into real cooking practice are often difficult, due to non-trivial nutritional calculation of multiple food ingredients in a cooked meal. This work presents a smart kitchen with UbiComp technology to improve home cooking by providing calorie awareness of food ingredients used in prepared meals during the cooking process. Our kitchen has sensors to track the number of calories in food ingredients, and then provides real-time feedback to users on these values through an awareness display. Our user study suggests that bringing calorie awareness can be an effective means in helping family cooks maintain the healthy level of calories in their prepared meals.

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Available from: Hao-Hua Chu
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    • "To reduce or eliminate underreporting in 24HR, smart cocking systems such as a smart kitchen were proposed, such as in [6]. In this approach, Calorie-Aware Kitchens are designed that include cameras to increase the awareness of choosing healthy food and the amount of calories in the prepared food. "
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    ABSTRACT: Measuring food calorie and nutrition intake on a daily basis is one of the main tools that allows dieticians, doctors, and their patients to control and treat obesity, overweightness, or other food-related health problems. Yet doing this measurement correctly and on a daily basis is challenging, and one of the main reasons why diet programs fail. In this article, we look at calorie intake measurement techniques, and we cover both traditional and newer methods, with emphasis on the latter. Among the newly proposed methods, Vision Based Measurement (VBM) has gained a lot of attention, because it makes it very easy for users to measure their food’s calorie and nutrition by simply taking a picture of their food with their smartphone. However, this still faces challenges, such as achieving higher measurement accuracies, recognizing complex food items such as mixed food, lack of sufficient processing power, etc. When measuring food calorie with VBM, recognition of the food is a particularly difficult process because food items take different variations in shape and appearance. Furthermore, the algorithms used for food recognition and classification are computationally intensive. Several solutions and architectures have been proposed to tackle these challenges, which we will cover in this article.
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    • "Persuasive technologies have been used within the health space to assist people in developing new habits around health, from making better eating choices to encouraging a more active lifestyle. These systems have, for the most part, relied on fixed contexts to offer support: alarms at particular times of the day; showing performance updates when one glances at their mobile phones [1]; and user-activated support [2] [3]. However, one cannot rely solely upon fixed solutions for persuasive technology to effect longterm behavioral change. "
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    • "If a similar trend to activity tracking is observed it could result in a large amount of quantitative data being collected by individuals for their own health goals. 2) Electronic Tracking: Alternatively, approaches using electronic tracking via RFID tags and smart kitchen technology [10] or special food vessels [11] could be utilized by individuals. The previous approaches are limited as they require special equipment to be available at the point of food preparation. "
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