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Energy balance is one component of weight management, but passive objective measures of caloric intake are non-existent. Given the recent success of actigraphy as a passive objective measure of the physical activity construct that relieves participants of the burden of biased self-report, computer scientists and engineers are aiming to find a passive objective measure of caloric intake. Passive sensing...
Background: According to several recent research results [1]-[4], obesity can increase the risk of many diseases such as diabetes, chronic kidney disease, metabolic disease, cardiovascular disease, etc. To prevent and treat the obesity efficiently and effectively, diet monitoring is an important factor. Purpose: Manual self-monitoring techniques for diet suffer from drawbacks such as low adherence,...
Eating detection is a critical component in a wearable dietary monitoring device called eButton under our investigation. Once an eating activity is detected, a camera within the device is activated to take pictures of food automatically which is then processed to measure intakes of calories and nutrients. In this paper, we address the eating detection problem using a proximity sensor within the eButton...
The treatment of eating disorders is now part of the priority actions of the public health policy. For several years, nutritionists have been using tools relying on new digital technologies, able to provide new diagnostic elements. In this paper, we propose a complete methodology to acquire, analyse morphological data and establish typologies with low cost consumer electronics devices. We use a Microsoft...
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...
A new image based activity recognition method for a person wearing a video camera below the neck is presented in this paper. The wearable device is used to capture video data in front of the wearer. Although the wearer never appears in the video, his or her physical activity is analyzed and recognized using the recorded scene changes resulting from the motion of the wearer. Correspondence features...
Obesity prevention requires individuals to have healthy eating and physical activity awareness in their daily lives. New technological products have been explored to help monitoring individual health behaviors. Smart phones are ubiq-uitous hand-held tools with rich embedded sensors and limited computing power. A smart phone is a prospective candidate to integrate physical exercise analysis and food...
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