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In dietary studies, an accurate tool for diet assessment is highly required. In this paper, we present a new approach to the estimation of the food volume from a single input image based on the virtual reality (VR) technology. A virtual reality model is built for the estimation process and an algorithm is developed for the calculation of food volume. Experimental results have indicated high accuracy...
In order to understand the etiology of obesity related to people's diet, we have developed a method to calculate food volume (portion size) from a single digital image in which a dining plate was used as a reference. In order to evaluate the error of this method, we observe the relationship between the relative error under different food imaging scenarios, such as angles of camera rotation and distances...
This paper introduces the design and realization of a wearable device for dietary and physical activity monitoring. This design is based on technological advances in microelectronics and our previous prototypes which have verified the system concept. From our results, it is shown that the device meets all functional requirements as well as size and power consumption constraints essential to participants'...
Accurate estimation of food volume plays an important role in dietary assessment using digital photographs. In this paper, we present a new approach based on a circular object (e.g., a dining plate or a coin) as a physical reference to determine food portion size. A geometrical model relating the circular object and its image is built. An algorithm to estimate food volume using the geometric model...
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