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Several methods have been proposed for automatic and objective monitoring of food intake, but their performance suffers in the presence of speech and motion artifacts. This paper presents a novel sensor system and algorithms for detection and characterization of chewing bouts from a piezoelectric strain sensor placed on the temporalis muscle. The proposed data acquisition device was incorporated into...
Obesity is increasing globally and is a risk factor for many chronic conditions such as such as heart disease, sleep apnea, type-2 diabetes, and some cancers. Research shows that food logging is beneficial in promoting weight loss. Crowdsourcing has also been used in promoting dietary feedback for food logging. This work investigates the feasibility of crowdsourcing to provide support in accurately...
Research suggests that there might be a relationship between chewing rate and final energy intake. Wearable sensor systems have been proposed for automatic detection of food intake. This work presents the use of linear regression for estimation of chew counts from piezoelectric sensor signal. For known chewing sequences, four features are computed (number of peaks, valleys, zero crossings and duration...
If temporal variation of a person's hunger degree could be estimated, it would be possible to adjust his/her eating habits and/or prevent obesity. It is well-known that there is a negative correlation between a hunger degree and a blood glucose level. However, it is hard to measure a person's blood glucose level anytime and anywhere, because it relies usually on an invasive method (e.g., blood sampling)...
We present a novel game and virtual world based application that is aimed at improving the physical activity estimation skills of parents. It has been well established that lack of proper estimation of preschool children’s activity levels may be one of the main causes for childhood obesity. Childhood obesity has several long term health effects ranging from cardio-vascular disease to type II diabetes...
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...
Obesity has reached epidemic extensions and represents an important social and economical burden for the society as well as for many individuals. It also represents a risk factor for developing chronic diseases and consequently serious health complications. In the paper the structure of mathematical description organization is presented enabling the coexistence of different mathematical descriptions...
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