Title :
What can computer vision tell you about your weight?
Author :
Velardo, Carmelo ; Dugelay, Jean-Luc
Author_Institution :
EURECOM, Sophia Antipolis, France
Abstract :
Extreme overweight and obesity are spreading widely like an epidemic. Populations feels the urge for preventive tools and methods to increase people self-awareness and 3D body analysis could be employed to create self-diagnostic methods. We propose a system based on the Microsoft Kinect RGBD sensor to help people to detect weight problems and, possibly, to guide them through improvements in their lifestyle. Our application extrapolates anthropometric measures from the body silhouette and 3D information. Measures are used to estimate body weight thanks to a statistical model trained on the data of a large medical database. Thanks to the knowledge acquired while analyzing the user, the system provides through its interface, healthiness measures and information that are necessary for a correct lifestyle that would mitigate the effects of weight problems.
Keywords :
computer vision; database management systems; medical computing; statistical analysis; 3D body analysis; Microsoft Kinect RGBD sensor; anthropometric measures; body silhouette; body weight; computer vision; extreme overweight; large medical database; obesity; people self-awareness; statistical model; Computer vision; Databases; Equations; Estimation; Measurement uncertainty; Obesity; Weight measurement; 3D body analysis; Kinect; Obesity; weight control; weight estimation;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location :
Bucharest
Print_ISBN :
978-1-4673-1068-0